From cezarykaliszyk at gmail.com Thu Jun 1 03:05:52 2017 From: cezarykaliszyk at gmail.com (Cezary Kaliszyk) Date: Thu, 1 Jun 2017 09:05:52 +0200 Subject: Connectionists: PhD and PostDoc positions in machine learning for theorem proving in Innsbruck Message-ID: We invite candidates for multiple PhD student and Postdoc researcher positions to start in 2017 or 2018 in the 5-year project "Strong Modular Proof Assistance: Reasoning across Theories" in the CL group at the University of Innsbruck. The starting date can be negotiated. PhD student positions like Postdoc positions are formal employment in Austria, with a regular salary and benefits. Applications before June 15 will receive a full consideration. A background in machine learning or proof assistants is an advantage. Knowledge of German is not required, the group is international and the language of communication is English. Candidates for a PhD position must hold a MSc in computer science or mathematics and candidates for the postdoctoral position hold a PhD degree in computer science or mathematics. Applications and informal inquiries are welcome, please contact Cezary Kaliszyk (cezary.kaliszyk at uibk.ac.at). Applications should include a CV and names and contact details of two references. For the Postdoc positions please include a brief research statement. The city of Innsbruck, which hosted the Olympic Winter Games in 1964, 1976 and 2012 (YOG), is superbly located in the beautiful surroundings of the Tyrolean Alps. The combination of the Alpine environment and urban life in this historic town provides a high quality of living. More information about the project, the group, and the university: http://cl-informatik.uibk.ac.at/cek/smart/ -- Cezary Kaliszyk, University of Innsbruck, http://cl-informatik.uibk.ac.at/cek/ From anne.karina.feldmeth at bcf.uni-freiburg.de Thu Jun 1 06:20:43 2017 From: anne.karina.feldmeth at bcf.uni-freiburg.de (Anne Karina Feldmeth) Date: Thu, 1 Jun 2017 12:20:43 +0200 Subject: Connectionists: Second Call: BCF/NWG Course: Analysis and Models in Neurophysiology Message-ID: <4a32d879-7639-32a2-0a75-2651c2eb0ec6@bcf.uni-freiburg.de> BCF/NWG Course "Analysis and Models in Neurophysiology" Sunday, October 8 - Friday, October 13, 2017 Bernstein Center Freiburg, Hansastra?e 9a, 79104 Freiburg, Germany Aim of the course: The course is intended to provide advanced Diploma/Masters and PhD students, as well as young researchers from the neurosciences with approaches for the analysis of electrophysiological data and the theoretical concepts behind them. The course includes various topics such as: * Neuron Models and Point Processes (Prof. Stefan Rotter) * Local field potentials (Prof. Ulrich Egert) * Functional Imaging (Dr. Pierre LeVan) * Neural Decoding (Prof. Carsten Mehring) The course will consist of lectures in the morning and matching exercises using Matlab and Mathematica in the afternoon. The participants should have a basic understanding of scientific programming. This course is designated especially for advanced diploma/master students and PhD students (preferentially in their first year). Application: Please apply by sending one single pdf document containing your CV and a meaningful letter of motivation to nwg-course at bcf.uni-freiburg.de . The letter of motivation should refer to the following points: * Reasons for wanting to take this course * Background in mathematics * Background in scientific programming * Experience in using Matlab and Mathematica * Background in neuroscience The course is limited to 20 participants. Course fees: NWG members - free, others - 125? Application deadline: June 15, 2017 More information: http://www.bcf.uni-freiburg.de/events/conferences-workshops/20171008-nwgcourse -- Anne Karina Feldmeth Teaching & Training Coordinator Bernstein Center Freiburg University of Freiburg Hansastr. 9a D - 79104 Freiburg Germany Phone: +49 (0) 761 203-9575 Fax: +49 (0) 761 203-9559 Mail: anne.karina.feldmeth at bcf.uni-freiburg.de -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: NWG-Course-Announcement2017.pdf Type: application/pdf Size: 331090 bytes Desc: not available URL: From zoubin at eng.cam.ac.uk Thu Jun 1 02:34:51 2017 From: zoubin at eng.cam.ac.uk (Zoubin Ghahramani) Date: Thu, 1 Jun 2017 07:34:51 +0100 Subject: Connectionists: Uber AI Labs is hiring Machine Learning Scientists and Engineers (San Francisco, CA) Message-ID: <74FC1BCA-8A95-4381-B3F7-4411D86797F3@eng.cam.ac.uk> Uber AI Labs is Hiring! Join us to create AI that moves the world. We are hiring bright, passionate, creative, hard-working scientists and engineers. We currently have three types of open roles: ? Bayesian Optimization Research Scientist ? AI Labs Research Scientist (General) ? AI Labs Research Engineer Please click here to find out more: https://www.uber.com/info/ailabs/ ---------------- About us: Uber AI Labs: AI that moves the world Uber AI Labs gathers top scientists and engineers to create the next generation of machine learning algorithms to improve the lives of millions of people worldwide. Come help us turn the dreams of science fiction into reality. We conduct basic and applied research into problems such as self-driving cars, urban aviation, optimizing cities, and keeping riders safe. The lab offers a unique set of challenges, vast computational resources, talented & diverse colleagues, the ability to publish, open-source, and otherwise share your research, and fascinating data. As a Research Scientist at Uber AI, you will create the next generation of artificial intelligence algorithms to help Uber improve the lives of millions of people worldwide. You will collaborate and exchange ideas with our current team, which includes world-renowned scientists from many different AI disciplines, including but not limited to Bayesian methods, deep learning, evolutionary computation, and probabilistic programming, as well as interact with the international research community by publishing, attending conferences, and collaborating with scientists at other universities and research institutes. We value original, high-impact ideas and rigorous experimental validation. Both senior and junior scientists are welcome to apply: https://www.uber.com/info/ailabs/ We look forward to hearing from you! Zoubin Ghahramani Chief Scientist, Uber From zoubin at eng.cam.ac.uk Thu Jun 1 03:41:03 2017 From: zoubin at eng.cam.ac.uk (Zoubin Ghahramani) Date: Thu, 1 Jun 2017 08:41:03 +0100 Subject: Connectionists: Two Research Fellows in Machine Learning at the University of Cambridge (up to 3 year positions) - deadlines 15 June, 30 June Message-ID: We are seeking two highly creative and motivated Research Fellows to join the Machine Learning Group at the University of Cambridge. The positions are for up to 36 months. Details below! http://www.jobs.cam.ac.uk/job/13696/ (Closing Date: 15 June 2017) http://www.jobs.cam.ac.uk/job/13765/ (Closing Date: 30 June 2017) ???????? (1) Research Fellow in Machine Learning with the Leverhulme Centre for the Future of Intelligence We are seeking a highly creative and motivated Research Fellow to join the Machine Learning Group (http://mlg.eng.cam.ac.uk) in the Department of Engineering, and the Leverhulme Centre for the Future of Intelligence (http://lcfi.ac.uk), as a joint appointment with a desk in each, primarily based in the CFI, University of Cambridge, UK. This postdoctoral Research Fellow will be working with Professor Zoubin Ghahramani and Dr Adrian Weller on developing theory and methods to ensure that machine learning/artificial intelligence systems are scalable, reliable and interpretable. http://www.jobs.cam.ac.uk/job/13765/ (Closing Date: 30 June 2017) Please direct questions about this vacancy to Susan Gowans at skg41 at .cam.ac.uk. Please quote reference GO12221 on your application and in any correspondence about this vacancy. ???????? (2) Research Fellow in Machine Learning We are seeking a highly creative and motivated Research Assistant/Associate to join the Machine Learning Group (http://mlg.eng.cam.ac.uk) in the Department of Engineering, University of Cambridge, UK. The post holder will be working on areas related to deep learning and Bayesian methods, as well as ideally having an interest in machine learning for hardware optimization. The post holder will be funded by a grant from ARM (https://www.arm.com/ )and will act as a liaison to relevant research teams at ARM. The post holder will work in collaboration with Professor Zoubin Ghahramani and Dr Jose Miguel Hernandez Lobato as part of the Machine Learning Group at Cambridge University. http://www.jobs.cam.ac.uk/job/13696/ (Closing Date: 15 June 2017) If you have any questions about this vacancy or the application process, please contact Miss Diane Hazell, email: dsu21 at cam.ac.uk. ???????? In both cases, successful applicants will have or be near to completing a PhD in computer science, information engineering, statistics or a related area, and will have extensive research knowledge and experience in addition to a strong publication record in machine learning, including ideally papers in top machine learning conferences such as NIPS, UAI, ICML, and AISTATS. Excellent mathematical and programming skills are essential. Experience in two or more of the following areas: probabilistic modelling and scalable approximate inference; deep learning, MCMC methods; Bayesian optimization; graphical models will be necessary. ???????? Zoubin Ghahramani FRS Professor, Machine Learning Group, University of Cambridge | http://mlg.eng.cam.ac.uk Chief Scientist, Uber | https://www.uber.com/info/ailabs/ Deputy Academic Director, Leverhulme Centre for the Future of Intelligence | http://lcfi.ac.uk/ Faculty Fellow, Alan Turing Institute | https://www.turing.ac.uk/ From torcini at gmail.com Thu Jun 1 08:28:54 2017 From: torcini at gmail.com (A. Torcini) Date: Thu, 1 Jun 2017 14:28:54 +0200 Subject: Connectionists: 1st A*Midex CompNeuro Days, 12-13 July 2017, Marseille Message-ID: ------------------------------------------------------------------------------------ 1st A*Midex CompNeuro Days Workshop on Computational Neuroscience in Marseille (France) July 12nd-13th, 2017 https://amidexcompneuro.net/ ------------------------------------------------------------------------------------- The registrations are open for the 1st A*Midex CompNeuro Days, will be held on July 12nd and 13th, at the Institut de Neurosciences de la M?diterran?e (INMED), in the Luminy Campus of Aix-Marseille University at the gates of the Calanques National Park. The aim of this workshop is to gather researchers active in the field of general computational neuroscience to illustrate the diversity of its approaches and the richness of cooperation between theorists and experimentalists, and all this in an informal atmosphere favorable to discussions, opened to PhD students. List of confirmed speakers: Nicolas Brunel (Chicago, USA), Frederic Chavane (Marseille, France) Daniel Durstewitz ( Mannheim, Germany), Boris Gutkin (Paris, France), Vincent Hakim (Paris, France), David Hansel (Paris, France), Viktor Jirsa (Marseille, France), Anna Levina (Klosterneuburg, Austria) Nicolas Mallet (Bordeaux, France), Arnaud Malvache (Marseille, France) Gianluigi Mongillo (Paris, France), Alfonso Renart (Lisbon, Portugal) Petra Ritter (Berlin, Germay) The registration is mandatory and limited to the first 100 participants, the deadline is fixed to June 30th, please register here: https://amidexcompneuro.net/registration/ No fee is requested, but no support will be given, the participants can find some information concerning accomodations on the web page, but the workshop organization cannot help in this search. The organisers David Angulo Garcia (Aix-Marseille University, INS,INMED,CPT) Demian Battaglia (Aix-Marseille University, INS) Rosa Cossart (Aix-Marseille University, INMED) Alessandro Torcini (Cergy-Pontoise University, LPTM) Sponsors: A*Midex, INMED, Institut de Neurosciences des Syst?mes, Institut de Neurosciences de La Timone, EPINEXT, PhD Program in Integrative and Clinical Neurosciences, Mediterranean Neurosciences Society, Marie Curie Actions, Societ? Italiana Caos e Complessit? -------------------------------------------------------------------------------- From tarek.besold at googlemail.com Thu Jun 1 08:29:51 2017 From: tarek.besold at googlemail.com (Tarek R. Besold) Date: Thu, 1 Jun 2017 14:29:51 +0200 Subject: Connectionists: NeSy'17, the 12th International Workshop on Neural-Symbolic Learning and Reasoning: Call for submissions of late abstracts (deadline: June 18, 2017) Message-ID: <001201d2dad2$c522df70$4f689e50$@gmail.com> === NeSy'17: 12th International Workshop on Neural-Symbolic Learning and Reasoning === Date: July 17 & 18, 2017. Venue: City, University of London, UK. *** DEADLINE FOR SUBMISSION OF LATE ABSTRACTS: June 18, 2017 *** = WEBSITE = http://www.neural-symbolic.org/NeSy17/ = KEYNOTE SPEAKERS = Mauro Ferreira, Trinity College Dublin. Zoubin Ghahramani, University of Cambridge & Uber AI Labs. Alex Graves, Google DeepMind. Pascal Hitzler, Wrights State University. Chris Percy, BetBuddy Ltd. Murray Shanahan, Imperial College London. = INDUSTRY PANEL = Simo Dragicevic, CEO, BetBuddy Ltd. (moderator). John McNamara, Senior Inventor, IBM. James Davidson, Software Engineer, Google Brain. Jamie Woodhouse, Managing Director and Head of Financial Services Management Consulting and Finance and Risk, Accenture. Lonnie Hamm, Head of Data Science, Kindred Group Plc. Amir Saffari, Director of Applied AI, BenevolentAI. = INDUSTRY TRACK ADDED = For the first time, the 2017 edition of NeSy will feature an industry track on the second day of the workshop, July 18, 2017. The track will cover industry applications of neural-symbolic methods (including knowledge extraction from statistical data, neural-symbolic methods integrating data and knowledge for the semantic web, etc.), with the program featuring contributions from industry and academia alike. Also, there will be time to mix and mingle, exchange experiences from practitioners on both sides, and develop joint ideas and projects for the future. = REGISTRATION = The registration for NeSy'17 has become available from the City, University of London eStore: http://estore.city.ac.uk/product-catalogue/conference-events/school-specific -events/12th-international-workshop-on-neuralsymbolic-learning-and-reasoning -nesy17 = CALL FOR PAPERS = Artificial Intelligence researchers continue to face huge challenges in their quest to develop truly intelligent systems. The recent developments in the field of neural-symbolic integration bring an opportunity to integrate well-founded symbolic artificial intelligence with robust neural computing machinery to help tackle some of these challenges. The Workshop on Neural-Symbolic Learning and Reasoning is intended to create an atmosphere of exchange of ideas, providing a forum for the presentation and discussion of the key topics related to neural-symbolic integration. Topics of interest include but are not limited to: - The representation of symbolic knowledge by connectionist systems; - Neural Learning theory; - Integration of logic and probabilities, e.g., in neural networks, but also more generally; - Structured learning and relational learning in neural networks; - Logical reasoning carried out by neural networks; - Integrated neural-symbolic approaches; - Extraction of symbolic knowledge from trained neural networks; - Integrated neural-symbolic reasoning; - Neural-symbolic cognitive models; - Biologically-inspired neural-symbolic integration; - Applications in robotics, simulation, fraud prevention, natural language processing, semantic web, software engineering, fault diagnosis, bioinformatics, visual intelligence, etc. ** Submission ** Researchers and practitioners are invited to submit original papers that have not been submitted for review or published elsewhere: - Submitted papers must be written in English, must be formatted according to the Springer LNCS style (templates and sample files are available from https://www.springer.com/gp/computer-science/lncs/conference-proceedings-gui delines), and should not exceed 10 pages (excluding references/bibliography) in the case of research and experience papers, and 6 pages (excluding references/bibliography) in the case of position papers or technical notes. - All submitted papers will be judged based on their relevance, originality, significance, technical quality, and organisation. - Papers must be submitted through EasyChair at https://easychair.org/conferences/?conf=nesy17. - Additionally, presentations based on extended abstracts will be considered. These shall allow to report on latest results which had not been available at the time of paper submission. Therefore, the abstract deadline is significantly closer to the workshop date. Extended abstracts may not exceed 3 pages (including references/bibliography) and should aim to give a good impression of the type of work conducted, the achieved results and their importance for the field. ** Presentation ** Selected papers and abstracts will be presented during the workshop. The workshop will include extra time for discussion of the presentations allowing the group to have a better understanding of the issues, challenges, and ideas being presented. ** Publication ** Accepted papers and abstracts will be published in official workshop proceedings within the CEUR-WS.org series. Accepted abstracts will also be included in the official workshop proceedings. = IMPORTANT DATES = Notification of full paper acceptance/rejection: June 14, 2017 Deadline for submission of late abstracts: June 18, 2017 Notification of abstract acceptance/rejection: June 25, 2017 Camera-ready paper due: July 2, 2017 Workshop date: July 17-18, 2017 = WORKSHOP ORGANISERS = General Chairs: - Tarek R. Besold (University of Bremen, Germany) - Artur d'Avila Garcez (City, University of London, UK) - Isaac Noble (Playground Global, U.S.A.) Local Chair at City, University of London: Simon Odense On-Site Organisation Support: Yihan Wu (University of Minnesota, U.S.A.) = PROGRAMME COMMITTEE = - Raquel Alhama, University of Amsterdam - James Davidson, Google Brain - Richard Evans, Google DeepMind - Barbara Hammer, Bielefeld University - Thomas Icard, Stanford University - Kai-Uwe Kuehnberger, University of Osnabrueck - Luis Lamb, Universidade Federal do Rio Grande do Sul - Thomas Lukasiewicz, University of Oxford - Edjard Mota, Federal University of Amazonas - Terrence C. Stewart, University of Waterloo - Serge Thill, University of Skoevde - Son Tran, CSIRO Australia - Stefan Wermter, University of Hamburg -- Digital Media Lab Center for Computing and Communication Technologies (TZI) University of Bremen Email: Tarek.Besold at uni-bremen.de Web: http://www.cat-ai.org -------------- next part -------------- An HTML attachment was scrubbed... URL: From georg.martius at tuebingen.mpg.de Thu Jun 1 08:34:06 2017 From: georg.martius at tuebingen.mpg.de (Georg Martius) Date: Thu, 01 Jun 2017 14:34:06 +0200 Subject: Connectionists: 9 Independent Research Group Leaders in the Cyber Valley Initiative (Germany) Message-ID: <5829321.6Z9QXqfRpC@aschau> The Max Planck Institute for Intelligent Systems, Stuttgart-T?bingen, Germany, the University of Stuttgart, and the University of T?bingen invite applications for positions of up to *9 Independent Research Group Leaders* in the Cyber Valley Initiative which includes budget for a small group for several years, see below. Cyber Valley (http://cyber-valley.de/en) is a new center for AI research, bringing together partners from science and industry to create a world-leading hub for research in intelligent systems and to establish an ecosystem for startups in the field of artificial intelligence. Successful candidates should have an outstanding international early-career track record in AI research, including but not limited to: - Machine Learning - Perception & Computer Vision - Autonomous Robotics - Frameworks and Architectures for Intelligent Systems - Small-scale Robotics - Cybernetics See http://cyber-valley.de/jobs/9-independent-research-group-leaders-in-the-cyber-valley-initiative for further details and topic areas. Each of these research-focused positions will lead a new Cyber Valley Research Group located either at the Max Planck Institute for Intelligent Systems, at the University of Stuttgart, or at the University of T?bingen as part of the Cyber Valley initiative Baden-W?rttemberg. The establishment of a competitive basic research program is expected. The research groups are expected to engage actively with the existing research environment, including the Cyber Valley partners. The research groups will be able to draw on infrastructure and a stimulating environment for successful company startups in the area of artificial intelligence. All applications will be considered for two different types of positions that offer scientists an excellent opportunity for career advancement. During the selection process, depending on the career stage of the applicant, the most suitable position will be identified in agreement with the successful candidates. Cyber Valley Research Group Leaders at the Max Planck Institute for Intelligent Systems: The group leader positions are at W2 level (roughly equivalent to assistant/ associate professor level). The successful applicants are provided considerable funds for personnel, equipment and running costs that enable the group leaders to flexibly engage in their independent research agenda. The Max Planck Research Groups are limited to five years, but may be extended. Cyber Valley Research Group Leaders at the University of Stuttgart and at the University of T?bingen: The funding includes a group leader position (TV-L E14), PhD positions as well as startup and running budgets for up to four years. The groups will be embedded into the appropriate faculty at the University of Stuttgart or the Department of Computer Science in the Faculty of Science of the University of T?bingen, respectively, and benefit from the support structures. The Max Planck Society, the University of Stuttgart, and the University of T?bingen are equal opportunity employers and strive for gender diversity. We welcome applications from all backgrounds. We are committed to increasing the number of individuals with disabilities in our workforce and therefore encourage applications from such qualified individuals. Application details: http://cyber-valley.de/jobs/9-independent-research-group-leaders-in-the-cyber-valley-initiative Deadline: June 30, 2017. From yang at maebashi-it.org Thu Jun 1 23:23:57 2017 From: yang at maebashi-it.org (Yang) Date: Fri, 2 Jun 2017 12:23:57 +0900 Subject: Connectionists: [Brain Informatics 2017] - Call for Abstracts Message-ID: [Apologies if you receive this more than once] CALL FOR ABSTRACTS The 2017 International Conference on Brain Informatics (BI'17) "Investigating the Brain and Mind from Informatics Perspective" November 16-18, 2017, Beijing, China Homepage: http://bii.ia.ac.cn/bi-2017/ --------------------------------------- SUBMISSION DEADLINE: July 20, 2017 One-line submission: https://wi-lab.com/cyberchair/2017/bi17/scripts/submit.php?subarea=B --------------------------------------- *** KEYNOTE SPEAKERS *** Alan Evans (McGill University, Canada) Tom Mitchell (Carnegie Mellon University, US) Yanchao Bi (Beijing Normal University, China) Adam Ferguson (University of California San Francisco, US) Bin Hu (Lanzhou University, China) Michael Hawrylycz (Allen Institute for Brain Science, US) Dinggang Shen (University of North Carolina at Chapel Hill, US) *** WORKSHOPS AND SPECIAL SESSIONS *** (Full paper / abstract submission for worshop / special session is still open, please see http://bii.ia.ac.cn/bi-2017/workshops.htm for more information) # Workshop on Knowledge Representation: Brain and Machine (KRBM 2017) Organizers: Yanchao Bi, Beijing Normal University, China Yi Zeng, Chinese Academy of Sciences, China # Workshop on Affective, Psychological and Physiological Computing (APPC 2017) Organizers: Bin Hu, Lanzhou University, China Zhijun Yao, Lanzhou University, China Mi Li, Beijing University of Technology, China # Workshop on Big Data and Visualization for Brainsmatics (BDVB 2017) Organizers: Qingming Luo, Huazhong University of Science and Technology, China Anan LI, Huazhong University of Science and Technology, China # Workshop on Brain Big Data Based Wisdom Service (BBDBWS 2017) Organizer: Jiajin Huang, Beijing University of Technology, China # Workshop on Semantic Technology for eHealth (STeH 2017) Organizers: Jiao Li, Chinese Academy of Medical Sciences, China Zhisheng Huang, Vrije University Amsterdam, The Netherlands # Workshop on Big Data Neuroimaging Analytics for Brain and Mental Health (BDNABMH 2017) Organizer: Shouyi Wang, University of Texas at Arlington, USA # Workshop on Novel Methods of the Brain Imaging in the Clinical and Preclinical Neuroscience (NMBICPN 2017) Organizers: Vassiliy Tsytsarev, University of Maryland School of Medicine, USA Vicky Yamamoto, Keck School of Medicine of USC, USA Yan Li, University of Southern Queensland, Australia # The 1st International Workshop on Deep Learning in Brain MRI and Pathology Images (DLBMPI 2017) Organizers: Yan Xu, School of Biological Science and Medical Engineering, BUAA Eric Chang, Microsoft Research Asia # Special Session on Brain Informatics in Neurogenetics (BIN 2017) Organizers: Hong Liang, Harbin Engineering University, China Lei Du, Northwestern Polytechnical University, China Li Shen, Indiana University School of Medicine, USA # Special Session on BigNeuron Project (BP 2017) Organizers: Zhi Zhou, Allen Institute for Brain Sciences, USA Min Liu, Hunan University, China ================================================== Brain Informatics (BI) conference series provides a premier forum to bring together researchers and practitioners in the fields of neuroscience, cognitive science, computer science, data science, artificial intelligence, information communication technologies, and neuroimaging technologies. BI'17 addresses the computational, cognitive, physiological, biological, physical, ecological and social perspectives of brain informatics, as well as topics relating to mental health and well-being. It also welcomes emerging information technologies, including but not limited to Internet/Web of Things (IoT/WoT), cloud computing, big data analytics and interactive knowledge discovery related to brain research. BI'17 also encourages submissions that explore how advanced computing technologies are applied to and make a difference in various large-scale brain studies and their applications. BI'17 welcomes paper submissions (full paper and abstract submissions). Both research and application papers are solicited. All submitted papers will be reviewed on the basis of technical quality, relevance, significance and clarity. Accepted full papers will be included in the proceedings by Springer LNCS/LNAI. Workshop, Special-Session and Tutorial proposals, and Industry/Demo-Track papers are also welcome. The organizers of Workshops and Special-Sessions are invited to prepare a book proposal based on the topics of the workshop/special session for possible book publication in the Springer-Nature Brain Informatics & Health book series (http://www.springer.com/series/15148). *** Topics and Areas *** Track 1: Cognitive and Computational Foundations of Brain Science Track 2: Investigations of Human Information Processing Systems Track 3: Brain Big Data Analytics, Curation and Management Track 4: Informatics Paradigms for Brain and Mental Health Track 5: Brain-Inspired Intelligence and Computing IMPORTANT DATES : =========================== May 1, 2017: Submission deadline for full papers June 20, 2017: Notification of full paper acceptance June 20, 2017: Submission deadline for workshop/special-session papers June 30, 2017: Notification of workshop/special-session paper acceptance July 20, 2017: Submission deadline for abstracts July 30, 2017: Notification of abstract acceptance November 16, 2017: Tutorials, workshops and special-sessions November 17-18, 2017: Main conference ABSTRACT (TYPE-II) SUBMISSIONS : ================================= (Submission Deadline: July 20, 2017): Abstracts have a word limit of 500 words. Experimental research is particularly welcome. Accepted abstract submissions will be included in the conference program, and will be published as a single, collective proceedings volume. Title: Include in the title of the abstract all words critical for a subject index. Write your title in sentence case (first letter is capitalized; remaining letters are lower case). Do not bold or italicize your full title. Author: List all authors who contributed to the work discussed in the abstract. The presenting author must be listed in the first author slot of the list. Be prepared to submit contact information as well as conflict of interest information for each author listed. Abstract: Enter the body of the abstract and attach any applicable graphic files or tables here. Do not re-enter the title, author, support, or other information that is collected in other steps of the submission form. Presentation Preference: Authors may select from three presentation formats when submitting an abstract: "poster only", "talk preferred" or "no preference." The "talk preferred" selection indicates that you would like to give a talk, but will accept a poster format if necessary. Marking "poster only" indicates that you would not like to be considered for an oral-presentation session. Selecting "no preference" indicates the author's willingness to be placed in the best format for the program. Each paper or abstract requires one sponsoring attendee (i.e. someone who registered and is attending the conference). A single attendee can not sponsor more than two abstracts or papers. Oral presentations will be selected from both full length papers and abstracts. ----------------------------------------------- One-line submission: https://wi-lab.com/cyberchair/2017/bi17/scripts/submit.php?subarea=B ----------------------------------------------- *** Post-Conference Journal Publication *** The Brain Informatics conferences have the formal ties with Brain Informatics journal (Springer-Nature, http://www.springer.com/40708). Accepted abstracts from the conference will be expanded and revised for possible inclusion in the Brain Informatics journal each year. It is fully sponsored and no any article-processing fee charged for authors of Brain Informatics conference. ORGANIZERS ========== General Chairs Bo Xu (Chinese Academy of Sciences, China) Hanchuan Peng (Allen Institute for Brain Sciences, USA) Qingming Luo (Huazhong University of Science and Technology, China) Program Committee Chairs Yi Zeng (Chinese Academy of Sciences, China) Yong He (Beijing Normal University, China) Jeanette Kotaleski (Karolinska Institute, Sweden) Maryann Martone (University of California, San Diego, USA) Organizing Chairs Ning Zhong (Maebashi Institute of Technology, Japan, and Beijing Advanced Innovation Center for Future Internet Technology, Beijing University of Technology, China Jianzhou Yan (Beijing Advanced Innovation Center for Future Internet Technology, Beijing University of Technology, China) Shengfu Lu (Beijing Advanced Innovation Center for Future Internet Technology, Beijing University of Technology, China) Workshop/Special-Session Chairs An'an Li (Huazhong University of Science and Technology, China) Sen Song (Tsinghua University, China) Tutorial Chair Wenming Zheng (South East University, China) Publicity Chairs Tielin Zhang (Chinese Academy of Sciences, China) Shouyi Wang (University of Texas at Arlington, USA) Yang Yang (Maebashi Institute of Technology, Japan, and Beijing Advanced Innovation Center for Future Internet Technology, Beijing University of Technology, China) Steering Committee Chairs Ning Zhong (Maebashi Institute of Technology, Japan) Hanchuan Peng (Allen Institute for Brain Science, USA) *** Contact Information *** tielin.zhang at ia.ac.cn shouyiw at uta.edu yang at maebashi-it.org -------------- next part -------------- An HTML attachment was scrubbed... URL: From bruno.cessac at inria.fr Fri Jun 2 02:06:06 2017 From: bruno.cessac at inria.fr (Bruno Cessac) Date: Fri, 2 Jun 2017 08:06:06 +0200 Subject: Connectionists: =?utf-8?q?PhD_studentship_in_Computational_Visual?= =?utf-8?q?_Neuroscience_=E2=80=93_How_Specific_Classes_of_Retinal_Cells_C?= =?utf-8?q?ontribute_to_Vision=3A_a_Computational_Model?= Message-ID: <11529e19-a851-d4df-3db5-0e0df90f1536@inria.fr> PhD studentship in Computational Visual Neuroscience ? How Specific Classes of Retinal Cells Contribute to Vision: a Computational Model The studentship is part of a new interdisciplinary project funded by the Leverhulme Trust to investigate how different groups of retinal cells contribute to the encoding of visual scenes. It is at the interface between experimental neuroscience (Institute of Neuroscience in Newcastle University, UK, E. Sernagor?s lab http://www.ncl.ac.uk/ion/) and computational neuroscience (B. Cessac?s lab, INRIA, Sophia Antipolis, France; https://team.inria.fr/biovision/). The studentship is for three years, starting in October 2017. It covers student fees and maintenance as well as funds for travelling between the two teams and conference expenses. The deadline for application is june 15th, 2017 The detailed proposition can be found here https://team.inria.fr/biovision/files/2017/04/20170418-phd-cessac.pdf -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: bruno_cessac.vcf Type: text/x-vcard Size: 499 bytes Desc: not available URL: From bhuang at vt.edu Fri Jun 2 13:49:05 2017 From: bhuang at vt.edu (Bert Huang) Date: Fri, 2 Jun 2017 13:49:05 -0400 Subject: Connectionists: Deadline extension: ICML 2017 Workshop on Deep Structured Prediction Message-ID: <1E14CBA5-C175-4DBE-98AC-F1ACDCBF11F1@vt.edu> All, We have extended the submission deadline for the ICML 2017 Workshop on Deep Structured Prediction. Papers are now due June 16. See details below. Thanks, Bert -- Bert Huang, Ph.D. Assistant Professor Dept. of Computer Science, Virginia Tech http://berthuang.com Workshop of the International Conference on Machine Learning (ICML) 2017 Sydney, Australia 11 August 2017 Website: http://deepstruct.github.io/icml17 TL;DR: 4 pages, in ICML format, submit by June 16 PT. Deep learning has revolutionized machine learning for many domains and problems. Today, most successful applications of deep learning involve predicting single variables (like univariate regression or multi-class classification). However, many real problems involve highly dependent, structured variables. In such scenarios, it is desired or even necessary to model correlations and dependencies between the multiple input and output variables. Such problems arise in a wide range of domains, from natural language processing, computer vision, computational biology and others. Some approaches to these problems directly use deep learning concepts, such as those that generate sequences using recurrent neural networks or that output image segmentations through convolutions. Others adapt the concepts from structured output learning. These structured output prediction problems were traditionally handled using linear models and hand-crafted features, with a structured optimization such as inference. It has recently been proposed to combine the representational power of deep neural networks with modeling variable dependence in a structured prediction framework. There are numerous interesting research questions related to modeling and optimization that arise in this problem space. The workshop will bring together experts in machine learning and application domains whose research focuses on combining deep learning and structured models. Specifically, it will provide an overview of existing approaches from various domains to distill from their success principles that can be more generally applicable. We will also discuss the main challenges arising in this setting and outline potential directions for future progress. The target audience consists of researchers and practitioners in machine learning and application areas. Submissions We invite the submission of short papers no longer than four pages, including references, addressing machine learning research that intersects structured prediction and deep learning, including any of the following topics: Deep learning approaches for structured-output problems Integration of deep learning with structured-output learning End-to-end learning of probabilistic models with non-linear potentials Deep learning applications with dependent inputs or outputs Papers should be formatted according to the ICML template: (http://media.nips.cc/Conferences/ICML2017/icml2017.tgz ). Only papers using the above template will be considered. Word templates will not be provided. Papers should be submitted through easychair at the following address: https://easychair.org/conferences/?conf=1stdeepstructws Papers will be reviewed for relevance and quality. Accepted papers will be posted online. Authors of high-quality papers will be offered oral presentations at the workshop, and we will award a best-paper and runner-up prize sponsored by Google. Important Dates Abstracts deadline: June 16, 2017 PT June 2, 2017 PT Notification of acceptance: July 1, 2017 June 18, 2017 Camera-ready deadline: August 1, 2017 -------------- next part -------------- An HTML attachment was scrubbed... URL: From rsun at rpi.edu Sat Jun 3 20:01:01 2017 From: rsun at rpi.edu (Professor Ron Sun) Date: Sat, 3 Jun 2017 20:01:01 -0400 Subject: Connectionists: Special issue on deep reinforcement learning: submission deadline fast approaching Message-ID: <35C36618-77AB-4CDB-B540-BF070C571D35@rpi.edu> Call for Papers: Special Issue on Deep Reinforcement Learning in Neural Networks https://www.journals.elsevier.com/neural-networks/call-for-papers/special-issue-on-deep-reinforcement-learning-in-neural-netwo Deep learning (DL) has become highly popular in recent years, among theoretically minded and application-focused researchers alike. Moreover, the idea of deep learning has been combined with reinforcement learning (RL), leading to deep reinforcement learning, which has achieved notable successes in tackling difficult problems, including the achievement of AlphaGo. However, there are many open questions and issues that need to be addressed with regard to deep RL. Open questions with regard to deep RL include: ? How do we extend RL algorithms or systems to make them suitable for deep learning? How do we make RL (typically centered on values of states or state-action pairings) appropriately deep? ? How do we do so without jeopardizing useful characteristics of RL? ? What modification and enhancements to learning algorithms are necessary to accomplish deep RL in an effective and/or efficient manner? ? How can we make knowledge within deep RL systems explicit (generating explicit, symbolic, usable knowledge) and enable metacognitive reflection and regulation to some extent? ? How can deep learning help facilitate planning or model-based reinforcement learning? ? How can hierarchical or modular approaches be applied to deep RL? ? What theoretical/mathematical properties can be obtained with regard to deep RL (e.g., convergence, stability, robustness, and optimality)? ? How do we apply deep RL in real-world scenarios? The aim of this special issue is to showcase state-of-the-art work in the field of deep RL, addressing some of the above questions and beyond. Although there have no doubt been advances in addressing these questions, there is clearly room for further development. This special issue will provide a platform for deep learning and reinforcement learning researchers to share their work, for the sake of more rapid advances on a solid footing, fully realizing the potential of infusing reinforcement learning and deep learning. It also intends to showcase more effective applications in a variety of fields (robotics, control engineering, data analysis, and so on). We invite original research contributions on deep reinforcement learning (broadly defined). Possible topics for this special issue include, among others: ? New and better deep RL algorithms ? New and better neural network architectures for deep RL ? Better combinations of existing algorithms and techniques for deep RL ? Theories regarding deep RL ? Transfer learning and prior knowledge within deep RL ? Coping with uncertainty in deep RL ? Combining policy learning, value learning, and model-based search ? Symbolic structures from or within deep RL ? Planning and deep RL ? Mathematical analysis of deep RL (regarding convergence, optimality, stability, robustness, and so on) ? Hierarchical or modular RL ? Multi-agent RL ? Applications of deep RL algorithms, architectures, and systems to robotics, control, data analysis, prediction and forecast, modeling and simulation, and so on ? Applications of deep RL to cognitive-psychological or social modeling and analysis Survey papers are welcome also. Submission Procedure: Prospective authors should follow the standard author instructions for Neural Networks, and submit manuscripts online at http://ees.elsevier.com/neunet/. During submission, authors should indicate that their papers are for the special issue. Important Dates ? July 1, 2017 ? Deadline for submission ? December 1, 2017 ? Notification of review decisions to authors ? February 1, 2018 ? Deadline for submission of revised versions ? April 1, 2018 ? Final acceptance decision Guest Editors: Ron Sun, David Silver, Gerald Tesauro, Guang-Bin Huang ======================================================== Professor Ron Sun, Ph.D., FIEEE, FAPS, FPsyS Cognitive Science Department Rensselaer Polytechnic Institute 110 Eighth Street, Carnegie 302A Troy, NY 12180, USA phone: 518-276-3409 fax: 518-276-3017 email: dr.ron.sun [AT] gmail.com web: http://sites.google.com/site/drronsun ======================================================= From michael.madden at nuigalway.ie Sun Jun 4 13:53:11 2017 From: michael.madden at nuigalway.ie (Madden, Michael) Date: Sun, 4 Jun 2017 17:53:11 +0000 Subject: Connectionists: New research positions in Data Mining, Machine Learning and Artificial Intelligence Message-ID: Hello; I would be grateful if you could bring this to the attention of relevant candidates. Up to three new research positions are available in the Data Mining & Machine Learning Research Group, led by Dr Michael Madden in the National University of Ireland Galway, to contribute to a substantial European Union research project called ROCSAFE, which involves an exciting combination of aerial robotics, ground-based robotics, sensing systems, image analysis, and artificial intelligence. There are positions available for a software engineer and for two research scholars (MSc by research with possibility to transition to PhD). The software engineer will receive a salary commensurate with experience. The MSc students will receive a tax-free scholarship of ?16,000 per year, with fees also paid. Additional funding is provided for research-related travel. The research and software development work is likely to involve topics such as: (1) development of communications protocols and simulation of a realistic multi-agent system; (2) routing of autonomous vehicles for optimal collection of multi-resolution image and sensor data; (3) context-aware decision support driven by sensor data analytics. This is an excellent opportunity to combine research with software development, working in a flexible and stimulating research environment, while collaborating with academic and industrial partners across Europe. For information on how to apply, please see our website: http://datamining.it.nuigalway.ie/ Thank you, Michael. -- Dr Michael Madden Head of Data Mining & Machine Learning Group National University of Ireland, Galway +353-91-493797 / +353-86-7952802 http://datamining.it.nuigalway.ie/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From d.polani at herts.ac.uk Sun Jun 4 15:44:34 2017 From: d.polani at herts.ac.uk (Daniel Polani) Date: Sun, 4 Jun 2017 20:44:34 +0100 Subject: Connectionists: Research Fellow in Agent Learning and Adaptation Message-ID: <22836.25378.848211.587298@gargle.gargle.HOWL> //////////////////////////////////////////////////////////////////////// RESEARCH FELLOW IN AGENT LEARNING AND ADAPTATION Adaptive Systems Research Group School of Computer Science University of Hertfordshire, UK //////////////////////////////////////////////////////////////////////// UH7 - 32,004-38,183 GBP pa depending on qualifications and experience Fixed-term contract until 31. December 2018 FTE: Full-time, working 37 hours per week. A Research Fellow position is available in the EU Horizon 2020 funded project socSMCs (Socializing Sensorimotor Contingencies). As a part of a European project, this full-time research post will allow the postholder to pursue research into novel methods for novel information-theoretic entrainment and synchronization measures, applying them bottom-up social sensorimotor dynamics, and using information theory to implement interpretable (existing and yet-to-develop) analytic tools for the study of the dynamics on simulated systems, as well as its deployment and testing on robotic hardware. The research centers on the development of such algorithms, involving learning and adaptation, and developing and deploying corresponding software solutions on physical robots. The development of the algorithms and software as well as learning and adaptation algorithms suitable to run on physical robots forms a central part in the research. Applicants for the posts should have a strong postgraduate degree (MSc or PhD) in a quantitative research-oriented discipline, examples are computer science, mathematics or physics. Applicants should have strong mathematical background, with emphasis on probabilistic modeling, information theory, stochastic control, or robot control. Excellent programming skills are essential. Experience with robotic software development and relevant frameworks such as ROS, or developing and deploying AI algorithms on real-world robots is a plus. Applicants will have a high degree of motivation and, at the same time the ability to work both independently and in collaboration with the other investigators in the group. The envisaged research will take place in the vibrant, enthusiastic and enterprising research environment of the Adaptive Systems Research Group in the School of Computer Science at the University of Hertfordshire; there will also be the chance to collaborate with the WiMUST (Widely Scalable Mobile Underwater Sonar Technology) EU Horizon 2020 project, as well as the School's successful humanoid robot RoboCup team, the Bold Hearts, and other projects at the School. The school offers a large number of specialized and interdisciplinary seminars as well as general training opportunities. Research in Computer Science at the University of Hertfordshire has been recognized as excellent by the latest Research Assessment Exercise, with 50% of the research submitted being rated as internationally excellent or world leading. The University of Hertfordshire is located in Hatfield, Hertfordshire UK which is considered the "northern green belt" of London. Hatfield is close to London (less than 25 minutes by direct train to Kings Cross), has convenient access to Stansted, Luton and Heathrow airports, and, via the nearby historic town of St. Albans, also to Gatwick airport. Apply e.g. via: --------------- http://www.herts.ac.uk/contact-us/jobs-and-vacancies/research-vacancies, click "View Research Vacancies", and select "Research Fellow in Agent Learning and Adaptation", Job Ref.: 014732. Contact for informal inquiries: ------------------------------- Prof. Dr. Daniel Polani (E-mail: d.polani at herts.ac.uk) Web: http://homepages.herts.ac.uk/~comqdp1/ Adaptive Systems Research Group: http://adapsys.feis.herts.ac.uk/ Under current UKBA regulations, the University is unlikely to be able to get a work permit in respect of this post. We can therefore only accept applications from people who will have the right to work in the UK for at least one year from the date of appointment. From gianluca.baldassarre at gmail.com Mon Jun 5 08:35:28 2017 From: gianluca.baldassarre at gmail.com (Gianluca Baldassarre ) Date: Mon, 5 Jun 2017 14:35:28 +0200 Subject: Connectionists: =?utf-8?q?Call_for_participation_and_posters=3A_I?= =?utf-8?q?MOL2017_=E2=80=93_Third_International_Workshop_on_Intrin?= =?utf-8?q?sically_Motivated_Open-ended_Learning?= Message-ID: *** Apologies for cross-posting *** Dear colleagues, this mail is to invite you to "IMOL2017 ? Third International Workshop on Intrinsically Motivated Open-ended Learning" that will be held in Rome, October 4th-5th-6h, 2017. IMOL 2017 is the third international workshop on Intrinsically Motivated Open-ended Learning. Following previous editions, IMOL 2017 aims to further explore the promise of intrinsically motivated open-ended lifelong learning in robots and artificial systems. *We are opening the call for participation and posters (more details on the website and below) with deadline July 16th, 2017*. More info available at imol-conf.org and below. Best wishes, the organizers: Gianluca Baldassarre, Vieri Giuliano Santucci, Pierre-Yves Oudeyer, Andrew Barto ------------------------------------------------------------ ---------------------------------------- *IMOL2017 ? Third International Workshop on Intrinsically Motivated Open-ended Learning* Organizers: Gianluca Baldassarre, Vieri Giuliano Santucci, Pierre-Yves Oudeyer, Andrew Barto We are pleased to announce the ?Third International Workshop on Intrinsically-Motivated Open-ended Development (IMOL2017)?, which will be held in Rome, Italy, on 4-5-6 October 2017 in a beautiful central location. All information regarding the workshop, including an extended description of the its scope, can be found in the website imol-conf.org Following two previous workshops, the highly focused ?Third International Workshop on Intrinsically-Motivated Open-ended Development (IMOL2017)? aims to further explore the promise of intrinsically motivated open-ended lifelong learning. The workshop aims to be a highly interactive event. To this purpose, it will feature high profile keynote presentations and the participation of an audience of about 60 people. It will foster close interaction among the participants by enabling intense peer-to-peer discussions, poster sessions, and collective round tables directed toward specific objectives. It will take place at a lovely venue in the center of Rome fostering interactions, with evenings devoted to autonomous exploration of the city. It will be followed by a call for papers to be published in an open journal special issue (e.g. a Frontiers in Neurorobotics Research Topic). *Aims of the Workshop* The Workshop will occur over three whole days, with the last session of each day dedicated to a plenary discussion targeting three important topics: (1) The identification of the most important open challenges in the field of autonomous open-ended lifelong learning, with the aim of compiling a list of high-impact goals identified as important next-steps. (2) The definition of one or more benchmarks for evaluating models and architectures for autonomous open-ended learning (at a later date, an open competition will be held based on the benchmark). (3) The identification of the most promising approaches and techniques to tackle the open challenges identified under point (1). *Topics of interest* - Autonomous robots lifelong learning - Multi-task reinforcement learning - Deep reinforcement learning - Intrinsic motivations - Curriculum learning - Goal self-generation - Multiple task solution and parameterized skills - Neural/probabilistic representations and abstractions Architectures for open-ended learning - Goal-based skill learning - Knowledge transfer and avoidance of catastrophic forgetting - Compositionality and chunking - Hierarchies of goals and skills - Mitigating risks of real-world deployment of open-ended learning systems *Current list of invited speakers* - Baldassarre, Gianluca - Barto, Andrew - Bellemare, Marc - Calinon, Sylvain - Cangelosi, Angelo - Konidaris, George - Merrick, Kathryn - Natale, Lorenzo - O?Regan, Kevin - Oudeyer, Pierre-Yves - Peters, Jan - Polani, Daniel - Reinhart, Felix - Rolf, Matthias - Ruecker, Elmar - Santucci, Vieri Giuliano - Stulp, Freek - Triesch, Jochen - Uchibe, Eiji *Call for Application* Participation in the workshop is free of charge and includes the lunches for the three days. However, the workshop is limited to a restricted number of people given the capacity of the venue and the aim of the event. Prospective attendees should express their interest in participating by submitting the form downloadable from the link below, and their willingness (or not) to contribute a poster. In this case, people is also invited to submit a short/extended abstract (max 2 pages), possibly including figures. The submissions will be selected on the basis of the quality and of how well they fit the workshop?s aims. Both senior and young researchers, including Ph.D. students, are encouraged to submit to ensure a full representation of the community. Moreover, applicants are also requested to indicate in the form their willingness to participate in a special issue in Frontiers in Neurorobotics. This request aims to investigate the overall interest for the initiative, which will be followed by a standard Frontiers call after the workshop. Application deadline: July 16th, 2017 Notification of acceptance: July 27th, 2017 Please submit the form downloadable here and the optional abstract (subject: ?IMOL2017 submission: name, last name?) to: *imol.conf at gmail.com * ------------------------------------------------------------ ---------------------------------------- -- .|.CS...|.......|...............|..|......US.|||.|||||.||.||||..|...|....... Gianluca Baldassarre, Ph.D., Laboratory of Computational Embodied Neuroscience, Istituto di Scienze e Tecnologie della Cognizione, Consiglio Nazionale delle Ricerche (LOCEN-ISTC-CNR), Via San Martino della Battaglia 44, I-00185 Roma, Italy E-mail: gianluca.baldassarre at istc.cnr.it Web: http://www.istc.cnr.it/people/gianluca-baldassarre Tel: +39 06 44 595 231 Fax: +39 06 44 595 243 Motto: 'Learn from the past, live in(tensely) the present, dream for the future' Life mission statement: 'Serve humanity through core knowledge' ...CS.|||.||.|||.||..|.......|........|...US.|.|....||..|..|......|......... -------------- next part -------------- An HTML attachment was scrubbed... URL: From e.vasilaki at gmail.com Mon Jun 5 09:14:10 2017 From: e.vasilaki at gmail.com (Eleni Vasilaki) Date: Mon, 5 Jun 2017 14:14:10 +0100 Subject: Connectionists: Permanent academic positions in computational neuroscience/ machine learning at assistant and associate professor level Message-ID: There are two permanent academic openings in the Department of Computer Science, University of Sheffield, in the area of Computational Neuroscience within the Machine Learning group. Lecturer/Senior Lecturer/Reader in Machine Learning and Computational Neuroscience. Lecturer/Senior Lecturer/Reader in Machine Learning and Robotics. Lecturer is roughly equivalent to Assistant professor and Senior Lecturer/Reader to Associate Professor in the US system. Since it was established in 1982, the Department of Computer Science at the University of Sheffield has attained an international reputation for its research and teaching. In the 2014 Research Excellence Framework (REF) exercise, we were ranked 5th out of 89 departments in the UK for computer science research. For more information please see: https://www.sheffield.ac.uk/dcs/jobs/index Eleni From sandhyaprabhakaran at gmail.com Mon Jun 5 14:57:03 2017 From: sandhyaprabhakaran at gmail.com (Sandhya Prabhakaran) Date: Mon, 5 Jun 2017 14:57:03 -0400 Subject: Connectionists: ICML 2017 Workshop on Computational Biology -- Deadline extended to June 8th Message-ID: Dear all, We invite submissions to the Workshop on Computational Biology ( https://sites.google.com/view/compbioworkshopicml2017) to be held in conjunction with ICML 2017 (https://2017.icml.cc/) conference in Sydney, Australia (Aug 6th - 11th, 2017). In Computational Biology, there have been credible developments in many high-throughput technologies that enable data generation from many interesting biological systems. The gamut of novel algorithms in Machine Learning makes it very attractive to apply these methods to the challenging biological questions. It therefore only seems befitting to bring together researchers engaged in applying ML in Computational Biology to discuss recent advances in this interdisciplinary field and ongoing developments. We have invited several distinguished speakers from the Computational Biology community to discuss and present their current research. We invite extended abstracts dealing with interesting applications of ML methods or bioinformatics approaches to biological and biomedical data arising from, but not limited to NGS technologies (ATAC-seq, ChIP-seq, Hi-C etc), CyToF, single-cell sequencing, electronic health records, and imaging technologies. In terms of methods, supervised and unsupervised ML, deep learning, multi-task learning, kernel methods, probabilistic graphical models would all be appropriate for the workshop. Important Dates --------------- Deadline for submissions : June 8th 2017 Notification of acceptance : June 16th, 2017 Workshop date : Aug 10th or 11th, 2017 Submission ---------- All novel Computational Biology approaches are of interest to the workshop. We welcome original extended abstracts that present recently published work as well as preliminary ideas. Extended abstracts should not exceed 4 pages in length (plus 1 optional page for references) and should be in pdf format (one column, font size 12). The submission need not be anonymized. If the abstract concerns previously published work, please cite the original paper in the workshop submission. All accepted contributions shall be presented at the poster session. There will be Travel Awards for Contributed Talks and Awards for Best Poster Presentations. Accepted abstracts will have the option of being published on the workshop website. For authors who do not wish their abstracts to be posted online or become citable, please mention this in the workshop submission. Submissions should be made through the EasyChair system: https://easychair.org/conferences/?conf=wcb2017 Invited Speakers ---------------- Anshul Kundaje (https://profiles.stanford.edu/anshul-kundaje), Stanford University Suchi Saria (http://www.suchisaria.com/), Johns Hopkins University Cheng Soon Ong (http://www.ong-home.my/), Data61, Canberra Registration ------------ All participants must register for the ICML 2017 workshop ( https://2017.icml.cc/Register2). Contact ------- For workshop-related queries please contact: wcbicml at gmail.com We are looking forward to your submissions! Organizing Committee: Dana Pe'er (https://www.mskcc.org/research-areas/labs/dana-pe-er), MSKCC Christina Leslie (https://www.mskcc.org/research-areas/labs/christina-leslie), MSKCC Barbara Engelhardt (https://www.cs.princeton.edu/~bee/), Princeton University Elham Azizi (http://elhamazizi.info/), MSKCC Sandhya Prabhakaran (http://sandhyaprabhakaran.com/), MSKCC Meghana Kshirsagar (http://www.cs.cmu.edu/~mkshirsa/), MSKCC Ambrose Carr (http://ambrosejcarr.com/), MSKCC (MSKCC: Memorial Sloan Kettering Cancer Center, NYC) -------------- next part -------------- An HTML attachment was scrubbed... URL: From l.rossi at aston.ac.uk Mon Jun 5 17:05:21 2017 From: l.rossi at aston.ac.uk (Luca Rossi) Date: Mon, 5 Jun 2017 22:05:21 +0100 Subject: Connectionists: Data Scientist (KTP Associate) @ Aston University UK Message-ID: An exciting opportunity has become available for an ambitious PhD graduate to take on this strategic project with the support of mentors from the company, University and Innovate UK. The project will develop an intelligent financial management software tool to model debtor payment behaviours using predictive analytics. This position is a 30 month fixed term contract. Qualifications we require: You will hold a PhD in Computer Science, Statistics or a mathematics based subject involving both maths and computing. The ideal candidate will have a strong foundation in data science / analytics including experience with machine learning algorithms. Strong technical skills including experience with query and data visualisation tools and experience of using MATLAB, R or Python will be required. Some knowledge / experience of business financial processes and experience of working in a commercial environment would be an advantage. About Rimilia: Rimilia design, develop and implement intelligent finance solutions that interface with 3rd party ERP systems and provide automation for Accounts Receivable, Bank Reconciliation and Cash Allocation processes. Find out more by visiting: www.rimilia.com. About KTP: This position forms part of Knowledge Transfer Partnerships (KTP) funded by Innovate UK. It?s essential you understand how KTP works and the vital role you will play if you successfully secure a KTP Associate position. Please visit: http://www.aston.ac.uk/business/grow-your-business/ funding/knowledge-transfer-partnerships/ Further details: Please visit our website to apply online: https://jobs.aston.ac.uk/. If you have any questions, please do not hesitate to contact l.rossi at aston.ac.uk -- Luca Rossi Lecturer in Computer Science School of Engineering and Applied Science Aston University Web: http://www.cs.aston.ac.uk/~rossil/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From l.rossi at aston.ac.uk Mon Jun 5 17:04:41 2017 From: l.rossi at aston.ac.uk (Luca Rossi) Date: Mon, 5 Jun 2017 22:04:41 +0100 Subject: Connectionists: PhD Studentship in Machine Learning & Pattern Recognition Message-ID: *Deadline for applications: 30th June 2017* *Fully funded PhD studentship (4 years) in Aston University, UK* *http://www.jobs.ac.uk/job/BBV928/phd-studentship-novel-paradigms-for-the-analysis-and-classification-of-non-vectorial-data/ * Applications are invited to apply for a four year Postgraduate Research studentship, supported by the School of Engineering and Applied Science, to be undertaken within the Computer Science subject group at Aston University. The successful applicant will join the recently established System Analytics Research Institute (http://www.aston.ac.uk/eas/re search/groups/systems-analytics-research-institute/). This studentship is combined with a teaching assistant role. The successful candidate will be required to provide up to an average of 6 hours per week of teaching support for a distance learning programme; therefore the student must be capable of teaching on an undergraduate course in Software Engineering. Details of teaching responsibilities and a list of taught modules can be found here. The position is available to start in September 2017 (or later by agreement) *Financial Support*: This studentship includes a fee bursary to cover the Home/EU tuition fee rate plus a maintenance allowance of ?15,000 in 2016/17. Applicants from outside the EU may apply for this studentship but will need to pay the difference between the ?Home/EU? and the ?Overseas? tuition fees, currently this is ?11,729 for the 2016/17 academic year. As part of the application you will be required to confirm that you have applied for, or, secured this additional funding. *Background of the Project*: Graph-based representations have long been used as a powerful way to characterise a large number of systems that are best described in terms of their structure. However, the rich expressiveness of graphs usually comes at the cost of an increased difficulty in applying standard pattern recognition techniques and machine learning to them. The aim of this project is to investigate novel ways to probe and characterise the structure of graphs. For example, in recent years, classical and quantum walks have emerged as a powerful way to measure the structural similarity between graphs and to define novel vertex signatures. However other processes, such as quantum walks with decoherence, have received little or no attention, despite having a number of unique and interesting properties. Other open problems that could be the subject of this project are the ability to cope with increasingly large and diverse input graphs (time-varying, multi-layer, etc.), as well as investigating the privacy concerns emerging in the analysis of real-world networks. *Person Specification*: The successful applicant will have a strong undergraduate (first class or upper second class) and/or Master?s degree in computer science, engineering, mathematics, physics or a related discipline as well as excellent programming and analytical/mathematical skills. Applicants with expertise and research interests lying at the intersection of graph theory, pattern recognition, and physics are particularly welcome to apply. Applicants from non-English speaking countries will need to satisfy Aston?s English language entry requirements. Enquiries about this project contact Dr. Luca Rossi (http://www.cs.aston .ac.uk/~rossil/ ) by email: l.rossi at aston .ac.uk. The online application form, reference forms and details of entry requirements, including English language are available at http://www.aston .ac.uk/eas/research/prospective-research-students/how-to-apply/ *Applications should also be accompanied by a brief research proposal, and an explanation of how your knowledge and experience will benefit the project.* -- Luca Rossi Lecturer in Computer Science School of Engineering and Applied Science Aston University Web: http://www.cs.aston.ac.uk/~rossil/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From srdjan.ostojic at ens.fr Mon Jun 5 17:13:41 2017 From: srdjan.ostojic at ens.fr (Srdjan Ostojic) Date: Mon, 5 Jun 2017 23:13:41 +0200 Subject: Connectionists: Neural Coding, Computation and Dynamics: last call In-Reply-To: References: Message-ID: <5935C985.2080008@ens.fr> This is the last call for NCCD 2017. The early registration deadline is June 9, after that registration fees go up (assuming there is space left). It's too late for contributed talks, but we are still accepting abstracts for posters, in case you have any late breaking scientific discoveries. Neural Coding, Computation and Dynamics (NCCD) September 17 - 20, 2017 Capbreton, France https://nccd2017.sciencesconf.org/ Towards a mechanistic interpretation of neural data NCCD17 is the third in a series of meetings focusing on topics in theoretical and experimental neuroscience. Techniques for recording and manipulating large-scale neural activity in awake behaving animals are developing at an accelerating pace. Identifying the principles of neural processing requires a mechanistic interpretation of the large amounts of collected data. The aim of this workshop is to make progress in that direction by bringing together three different communities: (i) experimentalists performing large-scale recordings in behaving animals; (ii) modelers specialized in statistical data-analysis; (iii) theorists working with mechanistic network models. We are looking for talks that build bridges across these different approaches. As with previous workshops, our goal is to foster the strong interactions we believe are so important for this field. So the meeting will be small (~70 people). Venue: Casino de Capbreton, Capbreton, France. Important date: June 9: early registration deadline Confirmed speakers: Mark Churchland (Columbia) Tatiana Engel (Stanford) Adrienne Fairhall (Seattle) Julijana Gjorgjieva (Frankfurt) Jakob Macke (Bonn) Alfonso Renart (Lisbon) Dmitry Rinberg (NYU) Maneesh Sahani (UCL) Ilana Witten (Princeton) Byron Yu (Pittsburgh) Organizers: Peter Latham (UCL) Srdjan Ostojic (ENS Paris) Maneesh Sahani (UCL) Previous meetings: http://www.gatsby.ucl.ac.uk/nccd/ From annalisa.gentile at ibm.com Tue Jun 6 02:30:27 2017 From: annalisa.gentile at ibm.com (annalisa gentile) Date: Mon, 5 Jun 2017 23:30:27 -0700 Subject: Connectionists: [CfP] ISWC 2017 - Industry Track, Poster&Demo, Semantic Web Challenge Message-ID: 16th International Semantic Web Conference (ISWC 2017) Vienna, Austria, October 21-25, 2017 ******************************************* *** Still lots of opportunities to get involved in ISWC 2017 *** you can submit your contributions to: *** Industry Track: until July 10, 2017 *** Poster and Demo session: until July 27, 2017 *** One of the Workshops: until July 21, 2017 *** Semantic Web Challenge: submissions open until October 7th, 2017 *** New this year: the ISWC Job Fair!! ******************************************* Website: http://iswc2017.semanticweb.org Facebook: https://www.facebook.com/groups/113652365383847 Twitter: @iswc2017 (https://twitter.com/ISWC2017) Overview calls: http://iswc2017.semanticweb.org/calls/ In this announcement: 1. Call for contributions: Poster&Demo, Industry Track 2. Call for contributions: Workshops 3. Semantic Web Challenge 4. ISWC Job Fair 5. Keynote speakers 6. Student Grants 7. Registration 8. Important dates 1. Call for Contributions ========================================== -------------------------------------------------------------------------- Call for Posters and Demos -------------------------------------------------------------------------- **deadline** July 27, 2017 The ISWC 2017 Posters and Demonstrations complement the paper tracks of the conference and offer an opportunity for presenting late-breaking research results, on-going research projects, and speculative or innovative work in progress. The informal setting of the Posters and Demonstrations encourages presenters and participants to engage in discussions about the work. Such discussions can be invaluable inputs for the future work of the presenters, while offering participants an effective way to broaden their knowledge of the emerging research trends and to network with other researchers. We invite submissions relevant to the area of the Semantic Web and which address, but are not limited to, the topics of the Research Track; the In-Use Track; and the Resources Track. Technical posters, reports on Semantic Web software systems (free or commercial), descriptions of completed work, and work in progress are all welcome. Demonstrations are intended to showcase innovative Semantic Web related implementations and technologies, both in academia and in industry. We explicitly welcome entries from the industry. However, submissions for posters and demos should go beyond pure advertisements of commercial software packages and convey a minimal scientific contribution. Authors of full papers accepted for the Research Track; the In-Use Track; and the Resources Track are explicitly invited to submit a demonstration. Detailed info: http://iswc2017.semanticweb.org/calls/call-for-posters-and-demos/ Program Chairs * Nadeschda Nikitina, University of Oxford, Oxford, UK * Dezhao Song, Thomson Reuters, Eagan, MN, USA -------------------------------------------------------------------------- Call for Industry Track Contributions -------------------------------------------------------------------------- **deadline** July 10, 2017 The Industry Track seeks to present the state of adoption of semantic technologies in industrial applications. These technologies may be used in specific industries (e.g., media, financials, telecommunications, healthcare, life sciences, government, intelligence, etc.) or as a horizontal technology, and in different application areas (e.g., business intelligence, analytics, search, content management, knowledge management, recommendation systems, data integration, etc.). We welcome contributions about success stories as well as experiences and discussions of obstacles that stand in the way of large scale adoption of certain technologies. Particular emphasis should be put on the demonstration of business value created by using the semantic technologies. We encourage the following two categories of submissions: - Success stories of business-relevant, industrial deployments of Semantic Web technologies - Position statements that outline potential strategic applications and use cases of semantic technologies Come and join us at the ISWC 2017 industry track to share your experience! Detailed info: http://iswc2017.semanticweb.org/calls/call-for-contributions-industry-track-iswc-2017/ Program Chairs * Achille Fokoue, IBM Yorktown, NY, USA * Peter Haase, metaphacts, Walldorf, Germany 2. Call for contributions: Workshops ========================================== The full list of accepted workshops can be found at https://iswc2017.semanticweb.org/program/workshops/ Please check their individual websites for the specific calls. The general deadline for workshop is **July 21, 2017** but can be subject to minor variations among different workshops. Full list of accepted workshops: [BLINK] Benchmarking Linked Data [BlkMirror] Re-coding Black Mirror [DeSemWeb] Decentralizing the Semantic Web [HSSUE] Hybrid Statistical Semantic Understanding and Emerging Semantics [LD4IE] Linked Data for Information Extraction [MaCSeW] Managing Changes in the Semantic Web [NLIWOD] Natural Language Interfaces for the Web of Data [OM] Ontology Matching [PrivOn] Society, Privacy and the Semantic Web - Policy and Technology [PROFILES] Dataset PROFlLing and fEderated Search for Web Data [SemSci] Enabling Open Semantic Science [SemStats] Semantic Statistics [SWIT] Semantic Web Technologies for the IoT [S4BioDiv] Semantics for Biodiversity [VOILA] Visualization and Interaction for Ontologies and Linked Data [WHiSe] Humanities in the Semantic Web [WOMoCoE] Ontology Modularity, Contextuality, and Evolution [WOP] Ontology Design and Patterns [WSP] Web Stream Processing Workshops & Tutorials Chairs * Aidan Hogan, Universidad de Chile Santiago, Santiago, Chile * Valentina Presutti, Institute of Cognitive Sciences and Technologies, CNR, Rome, Italy 3. Semantic Web Challenge ========================================== This year?s challenge will be about knowledge graphs, which are currently among the most prominent implementations of Semantic Web technologies. It will be centered around two important tasks for building large-scale knowledge graphs: Knowledge graph population. Given a portion of ton he concise bound description of a resource (e.g., label and type of a company), and a relation (e.g., CEO), participants are expected to provide the value(s) for the relation. Knowledge graph validation. Given a statement (i.e., a triple) about an entity, e.g., the phone number of a company, participants are expected to provide an assessment about the correctness of the statement. For both tasks, users may use a portion of the knowledge graph for training. Furthermore, arbitrary sources (e.g., external datasets, Web pages, etc.) may be used as input. Participants may choose to to participate in one or both tasks. Further details will be announced shortly. Program Chairs * Axel-Cyrille Ngonga Ngomo, University of Paderborn, Germany * Heiko Paulheim, University of Mannheim, Germany * Dan Bennett, Thomson Reuters, USA 4. ISWC Job Fair ========================================== Participate on the first edition of ISWC Job Fair! Job Fairs are a brilliant way to bring together job candidates with open positions in both, industry and academia, increasing the chances of finding the perfect job to advance your career or find your ideal future employee. If you are an organisation that wants to advertise positions or if you are looking for career opportunities don?t miss your chance to participate! You can register your organisation (company, academic institution, NGO, etc.) for the job fair for a small fee of ? 50 (on top of the regular registration). This can be done by one member of your organisation at the time of registration. Organisations that have purchased a regular sponsorship package (which includes other additional benefits!) are exempt from this extra fee. Further details at https://iswc2017.semanticweb.org/program/job-fair/ 5. Keynote speakers ========================================== We are delighted to announce the keynote speakers for this year edition of ISWC. Deborah McGuinness (Rensselaer Polytechnic Institute) https://tw.rpi.edu/web/person/Deborah_L_McGuinness Prof. McGuinness is a leading authority on the semantic web and has been working in knowledge representation and reasoning environments for over 25 years. Deborah's primary research thrusts include work on explanation, trust, ontologies, escience, open data, and semantically-enabled schema and data integration. Nada Lavrac (Jozef Stefan Institute) http://kt.ijs.si/nada_lavrac/ Prof. Lavrac is Head of the Department of Knowledge Technologies at Jozef Stefan Institute (JSI). She is an expert on machine learning and data mining, in particular inductive logic programming and intelligent data analysis in medicine. Jamie Taylor (Google) https://www.linkedin.com/in/jamie-taylor-853953/ Dr. Taylor has been deeply involved with Google's knowledge graph efforts. Prior to Google, he worked on Freebase at Metaweb. Further details about the talks will be announced at https://iswc2017.semanticweb.org/ 6. Student Grants ========================================== If you are a student interested in attending ISWC 2017 you may be eligible to apply for a grant to support the costs of travel and lodging. This year, travel grants are funded by the Semantic Web Science Association (SWSA) and the US National Science Foundation (NSF). The deadline for applying for an ISWC 2017 travel award is August 31st, 2017. Further info on the application process at: https://iswc2017.semanticweb.org/attending/student-travel-grants/ Student Coordinators * Lalana Kagal, Massachusetts Institute of Technology, Boston, MA, USA * Gianluca Demartini, University of Sheffield, Sheffield, UK 7. Registration ========================================== Early registration will open on June 15th, 2017. All details on registration fee can be found at https://iswc2017.semanticweb.org/attending/registration/ 8. Important Dates ========================================== Registration starts June 15, 2017 Doctoral Consortium notifications sent June 30, 2017 Author rebuttal period (Research, In-Use, Resources tracks) June 23-27, 2017 Submissions due (Industry track) July 10, 2017 Notifications sent (Research, In-Use, Resources tracks) July 14, 2017 Camera-ready papers for Doctoral Consortium due July 18, 2017 Workshop paper submissions due July 21, 2017 Poster & Demo submissions due July 27, 2017 Camera-ready papers due (Research, In-Use, Resources tracks) July 28, 2017 Notifications sent (Industry track) July 31, 3017 Workshop paper notifications sent August 24, 2017 Poster & Demo notifications sent August 24, 2017 Student activity applications due August 31, 2017 Final version industry track papers due August 31, 2017 Camera-ready copies for Poster & Demo due September 4, 2017 The last day for early registrations September 8, 2017 Workshops & Tutorials October 21 & 22, 2017 Conference October 23, 24 & 25, 2017 We thank our platinum sponsor IBM Research and our gold sponsors Siemens, Thomson Reuters, Semantic Web Company and data.world for their support. To learn more about ISWC 2017 sponsorship opportunities, please see https://iswc2017.semanticweb.org/sponsorship/ The ISWC Organising Committee ( http://iswc2017.semanticweb.org/organization/) -------------- next part -------------- An HTML attachment was scrubbed... URL: From anne.karina.feldmeth at bcf.uni-freiburg.de Tue Jun 6 02:58:02 2017 From: anne.karina.feldmeth at bcf.uni-freiburg.de (Anne Karina Feldmeth) Date: Tue, 6 Jun 2017 08:58:02 +0200 Subject: Connectionists: Second Call: BCF/NWG Course: Analysis and Models in Neurophysiology Message-ID: BCF/NWG Course "Analysis and Models in Neurophysiology" Sunday, October 8 - Friday, October 13, 2017 Bernstein Center Freiburg, Hansastra?e 9a, 79104 Freiburg, Germany Aim of the course: The course is intended to provide advanced Diploma/Masters and PhD students, as well as young researchers from the neurosciences with approaches for the analysis of electrophysiological data and the theoretical concepts behind them. The course includes various topics such as: * Neuron Models and Point Processes (Prof. Stefan Rotter) * Local field potentials (Prof. Ulrich Egert) * Functional Imaging (Dr. Pierre LeVan) * Neural Decoding (Prof. Carsten Mehring) The course will consist of lectures in the morning and matching exercises using Matlab and Mathematica in the afternoon. The participants should have a basic understanding of scientific programming. This course is designated especially for advanced diploma/master students and PhD students (preferentially in their first year). Application: Please apply by sending one single pdf document containing your CV and a meaningful letter of motivation to nwg-course at bcf.uni-freiburg.de . The letter of motivation should refer to the following points: * Reasons for wanting to take this course * Background in mathematics * Background in scientific programming * Experience in using Matlab and Mathematica * Background in neuroscience The course is limited to 20 participants. Course fees: NWG members - free, others - 125? Application deadline: June 15, 2017 More information: http://www.bcf.uni-freiburg.de/events/conferences-workshops/20171008-nwgcourse -- Anne Karina Feldmeth Teaching & Training Coordinator Bernstein Center Freiburg University of Freiburg Hansastr. 9a D - 79104 Freiburg Germany Phone: +49 (0) 761 203-9575 Fax: +49 (0) 761 203-9559 Mail: anne.karina.feldmeth at bcf.uni-freiburg.de -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: NWG-Course-Announcement2017.pdf Type: application/pdf Size: 331090 bytes Desc: not available URL: From odmartin at gmx.de Tue Jun 6 04:39:49 2017 From: odmartin at gmx.de (martin biehl) Date: Tue, 06 Jun 2017 08:39:49 +0000 Subject: Connectionists: Extended deadline - Call for abstracts - Agency In The Physical Sciences - Workshop Message-ID: Dear connectionists, we have extended the deadline of the call for abstracts for our workshop on ?Agency In The Physical Sciences,? which will be held on 4 September 2017 at the European Conference on Artificial Life (ECAL) 2017 in Lyon, France. The new deadline is 20 June 2017. *DESCRIPTION*: Agency is a ubiquitous concept in biology but virtually non-existent in physics. Roughly, agency can be seen as an abstraction of living organisms that focuses more on action, perception, and goal-directedness (normativity) than on replication and growth. "Agent-like" structures can be found in simple simulation models (physics) such as cellular automata or reaction-diffusion systems, as well as in the protocells of synthetic biology. However, "agent-like" currently remains an intuitive classification. This workshop's purpose is to support research directed towards making such a classification in a formal or quantitative way. Relevant questions include: * What sorts of physical structures can be said to be agents? * What can be gained by understanding them as agents? * What sorts of agents are they? * And by virtue of what physical properties are they those sorts of agents? The workshop aims to explore questions relating to agency in its most primitive forms, both in simulation and in physical reality. To this end, we invite both theoretical and empirical contributions on primitive agency. * The emphasis for theoretical contributions is on clear definitions and quantification: we are most interested in concepts that lend themselves to a rigorous analysis. * Empirical contributions should describe apparently purposeful, or otherwise apparently agentive, behaviour in systems simpler than those previously known to display such behaviour. *CONFIRMED SPEAKERS:* Mark Bedau Randall Beer Norman Packard *ABSTRACTS*: We invite the submission of short one- or two-page abstracts. Successful submissions will be allocated either a 10-minute or 20-minute presentation slot; submissions should indicate which format the authors would prefer. Presented abstracts will be collected and published on a web page. Please send abstracts to: aips.workshop.2017 at gmail.com *DATES*: June 4th: Abstract submission deadline June 25th: Notification (+/- 3 days) September 4th: Workshop in Lyon, France *WEBSITE*: https://agencyscience.wordpress.com Best Regards, Eran Agmon Martin Biehl Christopher L Buckley Simon McGregor Nathaniel Virgo Olaf Witkowski -------------- next part -------------- An HTML attachment was scrubbed... URL: From fh at cs.uni-freiburg.de Tue Jun 6 16:18:31 2017 From: fh at cs.uni-freiburg.de (Frank Hutter) Date: Tue, 6 Jun 2017 22:18:31 +0200 Subject: Connectionists: CFP: AutoML workshop at ECML-PKDD 2017 Message-ID: CALL FOR PAPERS The ECML-PKDD 2017 Workshop on Automatic Machine Learning (AutoML) Collocated with ECML-PKDD in Skopje, Macedonia, September 22, 2017 Web: http://ecmlpkdd2017.automl.org Email: ecmlpkdd2017 at automl.org ---------------------------------------------------------------- Important Dates: Submission deadline: 10 July, 2017, 11:59pm UTC-12 (July 10 anywhere in the world) Notification: 30 July, 2017 ---------------------------------------------------------------- AutoML: Automatic selection, configuration and composition of machine learning algorithms This workshop will provide a platform for discussing recent developments in the areas of meta-learning, algorithm selection and configuration, which arise in many diverse domains and are increasingly relevant today. Researchers and practitioners from all areas of science and technology face a large choice of parameterized machine learning algorithms, with little guidance as to which techniques to use in a given application context. Moreover, data mining challenges frequently remind us that algorithm selection and configuration are crucial in order to achieve cutting-edge performance, and drive industrial applications. Meta-learning leverages knowledge of past algorithm applications to select the best techniques for future applications, and offers effective techniques that are superior to humans both in terms of the end result and especially in the time required to achieve it. In this workshop, we will discuss different ways of exploiting meta-learning techniques to identify the potentially best algorithm(s) for a new task, based on meta-level information, including prior experiments on both past datasets and the current one. Many contemporary problems also require the use of complex workflows that consist of several processes or operations. Constructing such complex workflows requires extensive expertise, and could be greatly facilitated by leveraging planning, meta-learning and intelligent system design. This task is inherently interdisciplinary, as it builds on expertise in various areas of AI. Main research areas of relevance to this workshop include, but are not limited to: - Algorithm / model selection and configuration - Meta-learning and exploitation of meta-knowledge - Hyperparameter optimization - Automatic generation and evaluation of learning processes / workflows - Representation learning and automatic feature extraction / construction - Automatic feature coding / transformation - Automatic detection and handling skewed data or missing values - Automatic acquisition of new data (active learning, experimental design) - Usage of planners in the construction of workflows - Reinforcement learning for parameter control & algorithm design - Representation of learning goals and states in learning - Control and coordination of learning processes - Meta-reasoning - Layered learning - Multi-task and transfer learning - Learning to learn - Intelligent experiment design Co-chairs: Frank Hutter, Holger Hoos, Pavel Brazdil and Joaquin Vanschoren We welcome standard submissions of up to 6 pages (not including references) in ECML-PKDD format, as well as longer papers of up to 15 pages (not including references). For further details, please see the submission page ; the submission deadline is July 10th, 2017. All accepted papers will be presented as posters and very short poster spotlights; the best paper(s) will be selected for an oral presentation. At least one author of each accepted paper should be registered for the main conference. -------------- next part -------------- An HTML attachment was scrubbed... URL: From m.plumbley at surrey.ac.uk Tue Jun 6 19:20:31 2017 From: m.plumbley at surrey.ac.uk (m.plumbley at surrey.ac.uk) Date: Tue, 6 Jun 2017 23:20:31 +0000 Subject: Connectionists: Lecturer / Senior Lecturer in Machine Learning and Computational Intelligence, University of Surrey Message-ID: Lecturer / Senior Lecturer in Machine Learning and Computational Intelligence Department of Computer Science, University of Surrey Salary: GBP 39,324 to GBP 57,674 per annum Closing Date: Wednesday 28 June 2017 https://jobs.surrey.ac.uk/039217 The Department of Computer Science at the University of Surrey invites applications for a post of Lecturer/Senior Lecturer (similar to Assistant/Associate Professor) in Machine Learning and Computational Intelligence. We aim to attract outstanding candidates to the Nature Inspired Computing and Engineering (NICE) Group, who will have strong visions for research, a growing international research profile, a passion for teaching, and who value collaborative research and working in a team. This is an exciting opportunity in a department that is growing its reputation for delivering quality interdisciplinary and applied research based on strong foundations. The post-holder will enhance or complement one or more of the following areas: evolutionary computation, computational intelligence, machine learning, and computational neuroscience, with applications to data-driven optimisation, data analytics and big data, secure machine learning, self-organising and autonomous systems, healthcare and bioinformatics. It is expected that the post-holder will also contribute to high quality teaching at undergraduate and post-graduate level, for example in data science. Applicants to the post should have a PhD in a relevant subject or equivalent professional experience. An ability to produce high quality outputs is also required. The appointed candidate will be expected to contribute to all aspects of the Department's activities. We are looking for individuals that can inspire students through their curiosity for leading-edge aspects of technology. In particular, the teaching duties of the role include delivering high quality teaching to all levels of students, supervising undergraduate project students and postgraduate dissertations and contributing to the teaching of computational intelligence, machine learning, data science, as well as other practical areas of Computer Science, such as object-oriented programming and advanced algorithms. The Department of Computer Science embodies the ethos of "applying theory into practice" across its research and teaching activities. Its research activities are focused into two research groups: Nature Inspired Computing and Engineering (NICE) and Secure Systems. The research on evolutionary optimization and computational intelligence is internationally recognized and has a close collaboration across the University and internationally with academia and industry. The department has excellent links with departments across the University, as well as with industry, such as Honda, The Pirbright Institute, National Physical Laboratory, and Moorfields Eye Hospital. This is a full-time and permanent position. The post is available from September 2017 but there is flexibility in the start date. The University is located close to the Surrey Research Park in Guildford and within easy commuting distance of London. For further details and an informal discussion please contact Professor Yaochu Jin, Head of the NICE Group, yaochu.jin at surrey.ac.uk, or Professor Mark Plumbley, Head of Department at m.plumbley at surrey.ac.uk. The University and the Department specifically are committed to building a culturally diverse organisation and strongly encourages applications from female and minority candidates. The Department shares the Athena SWAN ideals with respect to the equality and diversity agenda. Presentations and interviews will take place on 13 July 2017. During the interview process there will be an opportunity to meet members of the NICE group in the evening of 12 July 2017 for an informal dinner and to meet with other colleagues within the Department on an informal basis. For further details and information on how to apply, visit https://jobs.surrey.ac.uk/039217 -- Prof Mark D Plumbley Interim Head of Department of Computer Science Professor of Signal Processing Centre for Vision, Speech and Signal Processing (CVSSP) University of Surrey - Celebrating 50 years in Guildford Email (Head of Department matters): cs-hod at list.surrey.ac.uk Email (Other matters): m.plumbley at surrey.ac.uk University of Surrey, Guildford, Surrey, GU2 7XH, UK From sarathcse2008 at gmail.com Tue Jun 6 22:47:56 2017 From: sarathcse2008 at gmail.com (Sarath Chandar) Date: Tue, 6 Jun 2017 22:47:56 -0400 Subject: Connectionists: [2nd CfP] Workshop on Lifelong Learning: A Reinforcement Learning Approach @ICML 2017 Message-ID: Dear Colleagues, We would like to invite you to submit extended abstracts of between 4-6 pages to our 'Lifelong Learning: A Reinforcement Learning Approach' ICML 2017 Workshop which will be held in Sydney, Australia on August 10, 2017. IMPORTANT INFORMATION ************************************************ Website: http://rlabstraction2016.wix.com/icml-2017 Date: 10 August 2017 Location: Sydney, Australia Submission deadline: *6th June 2016,* 13th June 2017, 11:59 PM (GMT+2) OVERVIEW ************************************************ One of the most challenging and open problems in Artificial Intelligence (AI) is that of Lifelong Learning: ?Lifelong Learning is the continued learning of tasks, from one or more domains, over the course of a lifetime, by a lifelong learning system. A lifelong learning system efficiently and effectively (1) retains the knowledge it has learned; (2) selectively transfers knowledge to learn new tasks; and (3) ensures the effective and efficient interaction between (1) and (2).? Lifelong learning is still in its infancy. Many issues currently exist such as learning general representations, catastrophic forgetting , efficient knowledge retention mechanisms and hierarchical abstractions . Much work has been done in the Reinforcement Learning (RL) community to tackle different elements of lifelonglearning. Active research topics include hierarchical abstractions, transfer learning, multi-task learning and curriculum learning. With the emergence of powerful function approximators such as in Deep Learning, we feel that now is a perfect time to provide a forum to discuss ways to move forward and provide a truly general lifelong learning framework, using RL-based algorithms, with more rigour than ever before. This workshop will endeavour to promote interaction between researchers working on the different elements of lifelong learning to try and find a synergy between the various techniques. SUBMISSION ************************************************ The submitted work should be an extended abstract of between 4-6 pages (including references). The submission should be in pdf format and should follow the style guidelines for ICML 2017. The review process is double-blind and the work should be submitted by the latest *6th June 2016,* *13*th June 2017, 11:59 PM(GMT+2).Submissions must be made through easychair: https://easychair.org/conferences/?conf=llicml2017 AREAS OF INTEREST ************************************************ - Using Hierarchical Abstractions to perform lifelong learning (e.g., skills/options and state space representations) - Transfer Learning - Multi-task Learning - Curriculum Learning - Deep Learning as a tool for performing lifelong learning - Determine new, challenging benchmark domains For more info see our website . WORKSHOP ORGANIZERS ************************************************ Sarath Chandar - University of Montreal Balaraman Ravindran - Indian Institute of Technology Daniel J. Mankowitz - Technion Israel Institute of Technology Tom Zahavy - Technion Israel Institute of Technology Shie Mannor - Technion Israel Institute of Technology We look forward to reviewing your submissions and hope to see you in Sydney! Kind regards, Sarath, Ravi, Daniel, Tom and Shie Lifelong Learning: A Reinforcement Learning Approach Workshop organizers -------------- next part -------------- An HTML attachment was scrubbed... URL: From A.Cangelosi at plymouth.ac.uk Wed Jun 7 08:27:47 2017 From: A.Cangelosi at plymouth.ac.uk (Angelo Cangelosi) Date: Wed, 7 Jun 2017 12:27:47 +0000 Subject: Connectionists: Lectureship in Robotics and Neural Systems Message-ID: The following lectureship post is suitable for scientists with track record in robotics and neural systems. University of Plymouth - The School of Computing, Electronics and Mathematics Lecturer in Electronics/ Computer Science / Robotics The School of Computing, Electronics and Mathematics, within the Faculty of Science and Engineering, seeks applicants for the above post. Candidates should be aligned with one or more of the School?s research groups; the Centre for Robotics and Neural Systems (CRNS), the Centre for Security, Communications and Network Research (CSCAN) or the newly established Big Data and Machine Learning research group. You are expected to be able to contribute to teaching across the Electronics, Robotics and Computer Science curriculum with initial teaching duties in Advanced Embedded Programming; Parallel Computation and Distributed Systems. This post targets candidates with an interest in building an international research track record in terms of publishing in international fora, securing external research funding and contributing to the supervision of PhD students, Masters students and Undergraduate students. The School typically awards several PhD bursaries each year, giving priority to new / young research supervisors. You will also be expected to deliver lectures and practical classes on high-level programming with object-orientated software interfacing embedded systems to mixed signal devices. We are particularly keen on candidates with experience of Parallel computing, Real-Time and Robotic Operating Systems. You will make an active and tangible contribution to programme development and student recruitment across the suite of Electronics, Robotics and Computer Science undergraduate and postgraduate courses. You should hold a PhD in a relevant discipline and demonstrate an established REF-level research track-record. You should ideally have experience in teaching undergraduate and/or postgraduate students and in supervising undergraduate/masters/doctoral students. You will also be expected to take part in curriculum development and course management as required. This is a full-time post working 37 hours per week on a permanent basis. For informal enquiry, please contact acangelosi at plymouth.ac.uk Further information about the school is available at www.plymouth.ac.uk/compmath or CRNS centre website: https://www.plymouth.ac.uk/research/robotics-neural-systems Closing date: 12 midnight, Sunday 2 July 2017 University of Plymouth is committed to an inclusive culture and respecting diversity, and welcomes applications from all sections of the community and is a Stonewall diversity champion. The University holds a Bronze Athena SWAN Award which recognises commitment to advancing women?s career in STEMM academia. University of Plymouth has been recognised by Bloomberg as one of the 50 best UK employers for 2016. To apply, use link below http://www.jobs.ac.uk/job/BBU716/lecturer-in-electronics-computer-science-robotics-salary-grade-range-32958-to-46924-grade-7-8/ ________________________________ [http://www.plymouth.ac.uk/images/email_footer.gif] This email and any files with it are confidential and intended solely for the use of the recipient to whom it is addressed. If you are not the intended recipient then copying, distribution or other use of the information contained is strictly prohibited and you should not rely on it. If you have received this email in error please let the sender know immediately and delete it from your system(s). Internet emails are not necessarily secure. While we take every care, Plymouth University accepts no responsibility for viruses and it is your responsibility to scan emails and their attachments. Plymouth University does not accept responsibility for any changes made after it was sent. Nothing in this email or its attachments constitutes an order for goods or services unless accompanied by an official order form. -------------- next part -------------- An HTML attachment was scrubbed... URL: From laurenz.wiskott at rub.de Wed Jun 7 08:50:04 2017 From: laurenz.wiskott at rub.de (Laurenz Wiskott) Date: Wed, 7 Jun 2017 14:50:04 +0200 Subject: Connectionists: fully funded PhD position in machine learning with Prof. Laurenz Wiskott in Bochum, Germany Message-ID: <20170607125004.GI5467@garlic> Please forward this job advertisement to candidates who might be interested. Thanks, Laurenz Wiskott. ___________________________________________________________________________ Open position for PhD student with Prof. Laurenz Wiskott at the Institute for Neural Computation, Bochum, Germany ___________________________________________________________________________ Institute: Institute for Neural Computation Ruhr-University Bochum Universitaetsstr. 150 D-44801 Bochum, Germany, EU The Institute for Neural Computation is a central research institute at the Ruhr-University Bochum, see https://www.ini.rub.de/. It focuses on dynamics and learning of perception and behavior on a functional level but is otherwise very diverse, ranging from neurophysiology and psychophysics over computational neuroscience to machine learning and technical applications. Research group: Prof. Dr. Laurenz Wiskott, see http://www.ini.ruhr-uni-bochum.de/PEOPLE/wiskott/ Research topics: We are looking for outstanding candidates who will be working on algorithms for continual (life long) learning with an emphasis on the interplay between unsupervised feature learning and memory-based reinforcement learning. The position is part of a team working jointly on developing a self-organizing vision-based agent that learns to navigate and adapt to changes in its environment. Interested candidates have also the opportunity to be involved with our related ongoing collaborative projects in the field of computational neuroscience on modeling hippocampal function and navigation. The group largely works with and contributes to the Modular toolkit for Data Processing (MDP toolkit) written in Python. Teaching: There is a teaching load of 3 hours per week during the semester, in particular for a programming course in python. Time: The appointment will be for three years and can then be extended for one more year if needed. Requirements: Candidates should have an education in computer science, physics, mathematics, electrical engineering or any related field. Required are strong mathematical and programming skills as well as the ability to communicate and work well in a team. Salary: Salary is 75% of salary scale TV-L E13. Inquiries: Informal inquiries can be addressed to Prof. Laurenz Wiskott . Application: Applications should be sent in electronic form to Prof. Laurenz Wiskott . Ruhr-University Bochum is committed to equal opportunity in employment and gender equality in its working environment. We therefore look forward to applications from qualified women. Applications from appropriately qualified handicapped persons are also encouraged. From eilif.mueller at epfl.ch Wed Jun 7 09:11:13 2017 From: eilif.mueller at epfl.ch (Eilif Muller) Date: Wed, 7 Jun 2017 15:11:13 +0200 Subject: Connectionists: Registration Open - EPFL Online Course: Simulation Neuroscience I Message-ID: <20170607151113.01e0b011@kimchi> Dear Colleagues, I would like to bring to your attention this upcoming new course on Simulation Neuroscience we are offering online, leveraging the HBP Brain Simulation Platform. It is the first of 3 planned courses through which we will teach students to construct and simulate data-driven microcircuits, like the Blue Brain cortical model. More details are below. Many thanks for forwarding to students who may be potentially interested. Best regards, Eilif ===== ANNOUNCEMENT ===== The Center for Digital Education of the ?cole polytechnique f?d?rale de Lausanne (EPFL), Switzerland in cooperation with the Blue Brian Project is welcoming students to participate in a new online course entitled: Simulation Neuroscience I - Reconstruction of a single neuron Faculty: Prof. Henry Markram, Prof. Idan Segev, Prof. Sean Hill, Prof. Felix Schuermann, Samuel Kerrian, Lida Kanari, Werner Van Geit, Dr. Srikanth Ramaswamy, Dr. Eilif Muller Abstract: Simulation Neuroscience is an emerging approach to integrate the knowledge dispersed throughout the field of neuroscience. The aim is to build a unified empirical picture of the brain, to study the biological mechanisms of brain function, behaviour and disease. This is achieved by integrating diverse data sources across the various scales of experimental neuroscience, from molecular to clinical, into computer simulations. In a series of three courses, you will learn to use the state-of-the-art modelling tools of the Human Brain Project Brain Simulation Platform to simulate neurons, build neural networks, and perform your own simulation experiments. This is the first course of the series that will teach you how to digitally reconstruct a single neuron. We invite you to join us and share in our passion to reconstruct, simulate and understand the brain! The course is targeted at senior bachelor, master or PhD students in science or engineering fields looking for an introduction to Simulation Neuroscience. It is a 6 week course, with an estimated course load of 5-7 hours per week. The registration deadline is June 13, 2017 The start date of the course is June 15, 2017 Registration is limited due to available compute resources, on a first-come, first-served basis. For more information: https://actu.epfl.ch/news/mooc-simulation-neuroscience-reconstruction-of-a-s/ ------------- Dr. Eilif Muller Section Manager - Simulation Neuroscience - Cells & Circuits Task Leader - Community Engagement - HBP Brain Simulation SP EPFL - Blue Brain Project Biotech Campus Chemin des Mines 9 1202 Geneva Switzerland Tel: +41 21 693 0698 Fax: +41 21 693 5350 www: http://bluebrain.epfl.ch/page-77926-en.html www: http://neuralensemble.org/people/eilifmuller From Pavis at iit.it Wed Jun 7 11:02:58 2017 From: Pavis at iit.it (Pavis) Date: Wed, 7 Jun 2017 15:02:58 +0000 Subject: Connectionists: CFP - ICCV 2017 International Workshop on Manifold Learning: from Euclid to Riemann In-Reply-To: <0E09F354EB71FC40A4D51EE54D8A9C8878C0BC2F@IITMXWGE015.iit.local> References: <0E09F354EB71FC40A4D51EE54D8A9C8878C0BBFC@IITMXWGE015.iit.local>, <0E09F354EB71FC40A4D51EE54D8A9C8878C0BC2F@IITMXWGE015.iit.local> Message-ID: <0E09F354EB71FC40A4D51EE54D8A9C8878C0BC3F@IITMXWGE015.iit.local> CFP - APOLOGIES FOR MULTIPLE POSTING ************************************** ICCV 2017 International Workshop on Manifold Learning: from Euclid to Riemann 28 October 2017 In conjunction with ICCV 2017, Venice, Italy Webpage: https://sites.google.com/site/maniflearn/ Contact: maniflearn at googlegroups.com IMPORTANT DATES (New dates) Paper Submission: July 20th , 2017 Author Notification: August 20th 2017 Camera Ready: August 25th , 2017 Workshop: October 28th, 2017 CALL FOR PAPERS Manifold Learning (ML) has been the subject of intensive study over the past two decades in the computer vision and machine learning communities. Originally, manifold learning techniques aim to identify the underlying structure (usually low-dimensional) of data from a set of observations (in the form of high-dimensional vectors). The recent advances in deep learning make one wonder whether data-driven learning techniques can benefit from the theoretical findings from ML studies. This innocent looking question becomes more important if we note that deep learning techniques are notorious for being data-hungry and supervised (mostly). On the contrary, many ML techniques unravel data structures without much supervision. This workshop considers itself as the frontier to raise the question of how classical ML techniques can help deep learning and vice versa and targets studies and discussions that bridge the gap. In this workshop, we will explore the latest development in machine learning techniques developed to work on/benefit from the non-linear manifolds. We will also target challenges and future directions related to the application of non-linear geometry, Riemannian manifolds in computer vision and machine learning. This workshop also acts as an opportunity for cross-disciplinary discussions and collaborations. We encourage discussions on recent advances, ongoing developments, and novel applications of manifold learning, optimization, feature representations and deep learning techniques. We are soliciting original contributions that address a wide range of theoretical and practical issues including, but not limited to Theoretical Advances related to manifold learning such as: - Dimensionality Reduction (e.g., Locally Linear Embedding, Laplacian Eigenmaps and etc.) - Clustering (e.g., discriminative clustering) - Kernel methods - Hashing - Feature learning - Metric Learning - Subspace Methods (e.g., Subspace clustering) - Advanced Optimization Techniques (constrained and non-convex optimization techniques on non-linear manifolds) - Mathematical Models for learning sequences - Mathematical Models for learning Shapes - Deep learning and non-linear manifolds - Low-rank factorization methods and Applications, such as: - Biometrics - Image/video recognition - Action/activity recognition - Facial expressions recognition - Learning and scene understanding - Medical imaging - Robotics and other related topics not listed above. INVITED SPEAKERS Prof. Pierre Absil (Department of Mathematical Engineering, University of Louvain, Belgium) Home Page: https://sites.uclouvain.be/absil/ Talk Title: Fittingcomposite B?zier curves on manifolds and their applications in computer vision Abstract: https://sites.google.com/site/maniflearn/invited-speakers Prof. Cristian Sminchisescu (Mathematical Sciences, Lund University, Sweden) Home Page: http://www.maths.lth.se/matematiklth/personal/sminchis/index.html Talk Title: Deep Structured Models for Visual Recognition Abstract: https://sites.google.com/site/maniflearn/invited-speakers Dr. Minh Ha Quang (IIT Istituto Italiano di Tecnologia, Italy) Home Page: https://www.iit.it/people/minh-haquang Talk Title: Infinite-dimensional covariance operators and their applications in computer vision Abstract: https://sites.google.com/site/maniflearn/invited-speakers Dr. Pavan Turaga (Arizona State University, USA) Home Page: http://www.public.asu.edu/~pturaga/Welcome.html Talk Title: Geometric Methods in Modeling Dynamical Phenomenon: Applications in Video Analysis Abstract: https://sites.google.com/site/maniflearn/invited-speakers WORKSHOP CHAIRS Prof. Mohamed Daoudi (IMT Lille Douai, CRIStAL UMR CNRS, France) Dr. Mehrtash Harandi (Data61-CSIRO and Australian National University, Australia) Prof. Vittorio Murino (IIT Istituto Italiano di Tecnologia, Italy) Prof. Richard Hartley (Australian National University and Data61-CSIRO, Australia SUBMISSION AND REVIEW PROCESS All submissions will be handled electronically via the conference?s CMT Website (https://cmt3.research.microsoft.com/MANIFLEARN2017). Submitted papers must be no longer than 8 pages following the official ICCV guideline http://iccv2017.thecvf.com/submission/main_conference/author_guidelines. ManifLearn reviewing will be double-blind. Each submission will be reviewed by at least three reviewers for originality, significance, clarity, soundness, relevance and technical contents. Papers that are not blind, or do not use the template, or have more than 8 pages (excluding references) will be rejected without review. From Margherita.Mauri at unige.ch Thu Jun 8 02:51:04 2017 From: Margherita.Mauri at unige.ch (Margherita Mauri) Date: Thu, 8 Jun 2017 06:51:04 +0000 Subject: Connectionists: We're hiring! University of Geneva - Research Assistant 100% Message-ID: <5342a9dbb775493882728baf993760cd@unige.ch> Dear All, Please find below the job description for a new available position at the University of Geneva. Description du poste La Facult? de m?decine de l?Universit? de Gen?ve b?n?ficie d?une dynamique multiculturelle enrichissante ? laquelle elle contribue par son rayonnement dans le cadre des mandats qu?elle s?est donn?s : l?enseignement, la recherche et son partenariat avec les H?pitaux Universitaires de Gen?ve (HUG). Afin de compl?ter l??quipe du D?partement de psychiatrie, la Facult? de m?decine est ? la recherche d?un/e Assistant/e de recherche A2 ? 100 % Le ou la personne s?lectionn?-e rejoindra le groupe LANVIE (Laboratoire du Neuroimagerie du Vieillissement) dirig? par le Prof. Giovanni B. Frisoni. Ses principales t?ches seront la recherche sur la maladie d?Alzheimer et les troubles cognitifs. Mais aussi : * Ex?cution et contr?le des activit?s quotidiennes de recherche en s?assurant que les activit?s soient finalis?es efficacement et en temps utile. * Communication avec l??quipe. * Pr?paration et mise ? jour des rapports scientifiques. * Contribution aux articles scientifiques. * Pr?senter les r?sultats de recherche selon n?cessit?. * Liaison avec le personnel administratif selon n?cessit?. * Participation ? des groupes de travail, conseils, commissions. Titre et comp?tences exig?s Vous ?tes titulaire d?un dipl?me en sciences / discipline en soins de sant? (Master), avez de l'exp?rience en recherche scientifique, ma?trisez l'anglais (oral et ?crit), niveau C1 minimum, ?tes ? l'aise avec les logiciels informatiques (logiciel de traitement de texte et tableur). Vous avez aussi d'excellentes aptitudes en communication et en organisation, de la diplomatie, r?sistance au stress, aptitude multit?ches, attitude proactive, capacit? ? anticiper, pr?venir et r?soudre des probl?mes. La connaissance du fran?ais, de l'italien et / ou de l'allemand est souhait?e. Si vous correspondez ? la description ci-dessus, nous serions tr?s heureux de recevoir une lettre de motivation, accompagn?e d?un CV, copies des dipl?mes, publications et des certificats de travail, qui devront ?tre d?pos?s exclusivement en ligne en cliquant sur le bouton ci-dessous ? Postuler/Apply now ?. Entr?e en fonction A convenir Contact Margherita MAURI Assistante de Recherche H?pitaux Universitaires de Gen?ve et Universit? de Gen?ve Laboratoire de Neuroimagerie du Vieillissement, Chemin du Petit Bel-Air 2 (B?timent Voirons) Informations compl?mentaires Contrat de droit priv? de 12 mois renouvelable. Job description The selected person will join the Ageing Neuroimaging Laboratory group, directed by Prof. Giovanni B. Frisoni. Your challenge: Research on Alzheimer?s disease and cognitive impairments Key tasks include (but are not limited to): ? Executing and monitoring the day-to-day activities of scientific research and ensuring that tasks are finalized efficiently and in a timely manner ? Communication with other team members ? Preparation and update of scientific reports ? Contribution to scientific articles ? Presenting results of scientific research as required ? Liaison with administrative staff when needed ? Participation in working groups, councils, commissions Your profile: ? MANDATORY: Degree in Scientific / Healthcare discipline (Master) ? MANDATORY: Experience in scientific research ? MANDATORY: Fluent in English (oral and written), minimum C1 level ? MANDATORY: Computer literacy (word processing and spreadsheet software) ? MANDATORY: Excellent communication and organization skills ? MANDATORY: Diplomatic, resilient to stress, multitasking abilities, proactive attitude, ability to anticipate prevent and solve problems ? Knowledge of French, Italian and/or German Applicants should submit a letter of interest, a Curriculum Vitae (including publications) margherita.mauri at unige.ch. Please indicate your family name and reference ?A2---01? in the subject field. -------------- next part -------------- An HTML attachment was scrubbed... URL: From sophon at sugano.mech.waseda.ac.jp Thu Jun 8 05:30:41 2017 From: sophon at sugano.mech.waseda.ac.jp (Sophon SOMLOR) Date: Thu, 8 Jun 2017 18:30:41 +0900 Subject: Connectionists: [meeting] Call for Contributions: SII2017 Special Session on "Distributed Haptic Sensor Integration", Deadline June 30 Message-ID: Dear all, We are calling for contributions for the 2017 IEEE/SICE International Symposium on System Integration Special Session on ?Distributed Haptic Sensor Integration? http://www.sii2017.org/uploads/Approved_SS_ Prosals/SS11.pdf Haptic sensors can provide rich information about the contact state and can be used for various applications such as user interfaces or collaborative robots. Spatially distributed sensing points, for example integrated in an artificial skin, can potentially provide detailed tactile information. Embedded electronics and distributed computation are necessary to facilitate the integration; otherwise, an overwhelming amount of wires would require too much space. Advanced algorithms are needed to analyze and interpret the haptic data fast and accurate. This special session, therefore, aims to bring together experts in the fields of developing and integrating haptic sensors and tactile data analysis. Topics of interest include, but are not limited to: - Haptic sensor development and integration - Multimodal distributed tactile sensors - Modular skin sensors; - Soft/flexible/stretchable sensors; - Large-scale data processing of tactile information - Use of tactile data for interaction control - Integration of haptic data with other sensing modalities (e.g. vision, inertial sensing) Submissions Procedure: All the instructions for paper submission are included in the conference website http://www.sii2017.org . A good quality paper may be considered for publication in IEEE Transactions on Industrial Informatics subject to further rounds of review. ***Deadlines*** Reception of full paper: June 30, 20157 Paper acceptance notification: September 20, 2017 Camera ready paper reception: October 20, 2017 For questions, please contact: dhsi.sii2017 at gmail.com Kind regards, ================================================ Dr. Sophon Somlor Junior Researcher Top Global University Project Unit for Frontier of Embodiment Informatics?ICT and Robotics Faculty of Science and Engineering Waseda University ????? ????? ??????????????? ICT????????? ????? ???? ???? ================================================ -------------- next part -------------- An HTML attachment was scrubbed... URL: From cristian.sminchisescu at math.lth.se Thu Jun 8 10:44:49 2017 From: cristian.sminchisescu at math.lth.se (Cristian Sminchisescu) Date: Thu, 8 Jun 2017 14:44:49 +0000 Subject: Connectionists: postdoc/research scientist positions, machine learning and computer vision, Lund University Message-ID: Post-doctoral/Research Scientist positions at Lund University, with focus on Computer Vision and/or Machine Learning (deadline June 14th, 11:59 PM CET) == Topic: Several positions are available in the area of computer vision and machine learning, with applications to scene understanding (semantic segmentation, 3d reconstruction, object modeling, active object and action recognition, and image categorization) from images and video data. These positions are funded in part under the European Research Council Consolidator grant SEED. Funding is available for a period of up to 2 years and can be renewed to a maximum of 4 years. The research aims to design generally applicable methods for visual feature extraction based on hierarchical, deep architectures as well as large-scale numerical optimization and machine learning techniques generally applicable to perceptual data. Depending on the interest and strengths of the candidate the work can focus on one (or several) of the following aspects: numerical optimization and machine learning algorithms including deep learning and reinforcement learning, statistical models, 2d or 3d modeling, hierarchical feature extraction, computational visual attention mechanisms, semantic segmentation, object recognition and image categorization. The approach is strongly research oriented, targeting contributions in high-profile international journals and conferences in computer vision, machine learning, computer graphics or automatic control. We focus on novel theoretical and algorithmic contributions, but also the design of associated proof-of concept prototypes. == Work duties: The successful candidates will be involved in research along one of the above themes in collaboration with Prof. Cristian Sminchisescu and his group members. The main duties involved in a post-doctoral position is to conduct research. Teaching may also be included (depending on the interest of the candidate), but up to no more than 20% of working hours. The position shall include the opportunity for three weeks of training in higher education teaching and learning. == Qualification requirements: Appointment to a post-doctoral/research scientist position requires that the applicant has a PhD, or an international degree deemed equivalent to a PhD, within the subject of the position, completed no more than three years before the last date for applications. Under special circumstances, the doctoral degree can have been completed earlier. Additional requirements: Very good oral and written proficiency in English. Strong mathematical background, familiarity with scientific programming environments (Matlab, TensorFlow, Caffee) as well as programming languages C/C++/Python. Applicants for a Postdoc/Research Scientist position must have at least one publication at major computer vision or machine learning top-level international conference of journal including ICCV, CVPR, ECCV, ICLR, ICML, NIPS, PAMI, IJCV, JMLR. This is a career development position primarily focused on research. The position is intended as an initial step in a career, and the assessment of the applicants will primarily be based on their research qualifications and potential as researchers. Particular emphasis will be placed on research skills within the subject. == Application deadline: 14.Jun.2017 11:59 PM CET == Please apply formally using Lund University?s job application system: http://lu.mynetworkglobal.com/what:job/jobID:151773/ Postdoktorer i matematik med inriktning mot datorseende och maskininl?rning lu.mynetworkglobal.com Tj?nster finns tillg?ngliga inom datorseende och maskininl?rning, med till?mpningar inom scenf?rst?else (semantisk segmentering, 3D-rekonstruktion, objektmodellering, objekt- och handlingsigenk?nning och bildkategorisering) fr?n bilder och video. Tj?nsterna kommer delvis att finansieras av (Applications should not be sent directly to Cristian Sminchisescu as they cannot be formally considered. For inquiries about the position or general expression of interest, prospective candidates are however encouraged to contact cristian.sminchisescu at math.lth.se). ============================================== Cristian Sminchisescu, Professor Mathematical Sciences, Lund University Office address: Solvegatan 18, Lund Postal address: Box 118, SE-221 00 Lund, Sweden Phone: +46 46 222 34 98 Fax: +46 46 222 42 13 E-mail:Cristian.Sminchisescu at math.lth.se Web: http://www.maths.lth.se/people/math-csu/ =============================================== -------------- next part -------------- An HTML attachment was scrubbed... URL: From mark.humphries at manchester.ac.uk Thu Jun 8 09:56:51 2017 From: mark.humphries at manchester.ac.uk (Mark Humphries) Date: Thu, 8 Jun 2017 13:56:51 +0000 Subject: Connectionists: Fully-funded PhD studentship in "Data-driven null models for big data networks" Message-ID: <7E954275ED82B9468C2C731FB72522F5013E0606B1@MBXP09.ds.man.ac.uk> We seek PhD candidates for the project "Data-driven null models for big data networks", supervised by Dr Mark Humphries at the University of Manchester. We are developing network theory approaches to analysing data in systems neuroscience (Humphries, 2017, https://doi.org/10.1101/115485 ). The aim of this PhD project is to develop an analysis framework for separating signal from noise in data-driven networks. We will develop new, flexible data-driven null models for network structure - models that will predict noise. Using these models, we will create powerful ways of extracting the signal network from observed data. With these signal networks, we will then explore how they change the conclusions we can draw from our observed data, what large-scale structures they uncover in the networks, and how they can track changes to networks over time. Applications will be assessed on a rolling basis, so please apply as soon as possible. This studentship is MRC-funded, so only open to UK and EU students. More information, and how to apply: https://www.findaphd.com/search/ProjectDetails.aspx?PJID=78216&LID=1020 Questions: mark.humphries at manchester.ac.uk Our lab: http://www.systemsneurophysiologylab.manchester.ac.uk/ _____________________________________________________________________________ Dr Mark Humphries | MRC Senior non-Clinical Research Fellow | Faculty of Biology, Medicine & Health http://www.systemsneurophysiologylab.manchester.ac.uk/ [0da17e2a-9ed5-496a-b161-9fd4491ce5c7]@markdhumphries Public blog: https://medium.com/the-spike -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: image001.png Type: image/png Size: 597 bytes Desc: image001.png URL: From aw665 at cam.ac.uk Thu Jun 8 17:12:43 2017 From: aw665 at cam.ac.uk (Adrian Weller) Date: Thu, 8 Jun 2017 17:12:43 -0400 Subject: Connectionists: CfP: Reliable Machine Learning in the Wild at ICML 2017, deadline 16 June or 17 July Message-ID: <04ba01d2e09b$fa660b70$ef322250$@cam.ac.uk> Call for Papers for ICML 2017 Workshop on Reliable Machine Learning in the Wild, please forward to others who may have interest. Workshop website https://sites.google.com/site/wildml2017icml/ When can we trust that a system that has performed well in the past will continue to do so in the future? Designing systems that are reliable in the wild is essential for high stakes applications such as self-driving cars and automated surgical assistants. This workshop aims to bring together researchers in diverse areas such as reinforcement learning, human-robot interaction, game theory, cognitive science, and security to further the field of reliability in machine learning. We will focus on three aspects - robustness (to adversaries, distributional shift, model misspecification, corrupted data); awareness (of when a change has occurred, when the model might be miscalibrated, etc.);and adaptation (to new situations or objectives). We aim to consider each of these in the context of the complex human factors that impact the successful application or meaningful monitoring of any artificial intelligence technology. Together, these will aid us in designing and deploying reliable machine learning systems. We are seeking submissions that deal with the challenges of reliably applied machine learning techniques in the real world. Some possible questions touching on each of these categories are given below, though we also welcome submissions that do not directly fit into these categories. * Robustness: How can we make a system robust to novel or potentially adversarial inputs? What are ways of handling model mis-specification or corrupted training data? What can be done if the training data is potentially a function of system behavior or of other agents in the environment (e.g. when collecting data on users that respond to changes in the system and might also behave strategically)? * Awareness: How do we make a system aware of its environment and of its own limitations, so that it can recognize and signal when it is no longer able to make reliable predictions or decisions? Can it successfully identify "strange" inputs or situations and take appropriately conservative actions? How can it detect when changes in the environment have occurred that require re-training? How can it detect that its model might be mis-specified or poorly-calibrated? * Adaptation: How can machine learning systems detect and adapt to changes in their environment, especially large changes (e.g. low overlap between train and test distributions, poor initial model assumptions, or shifts in the underlying prediction function)? How should an autonomous agent act when confronting radically new contexts? * Monitoring: How can we monitor large-scale systems in order to judge if they are performing well? If things go wrong, what tools can help? * Value Alignment: For systems with complex desiderata, how can we learn a value function that captures and balances all relevant considerations? How should a system act given uncertainty about its value function? Can we make sure that a system reflects the values of the humans who use it? * Reward Hacking: How can we ensure that the objective of a system is immune to reward hacking? Reward hacking is a way that the system can attain high reward that was unintended by the system designer. For example see https://blog.openai.com/faulty-reward-functions/ * Human Factors: Actual humans will be interacting and adapting to these systems when they are deployed. How do properties of humans affect the guarantees of performance that the system has? What if the humans are suboptimal or even adversarial? How to submit Papers submitted to the workshop should be up to four pages long excluding references and in ICML 2017 format. They should be submitted via Easychair at https://easychair.org/conferences/?conf=rmlw17 . As the review process is not blind, authors can reveal their identity in their submissions. Accepted submissions will be presented as posters or talks. We will accept submissions at two deadlines. One earlier deadline, with an earlier acceptance notification, and one later one. Our goal is to allow for late submission to the extent that we can, while still allowing some people to get early confirmation of paper acceptance, which they might need in order to arrange travel in time. Important Dates: Submission deadline 1: 16 June 2017 Acceptance notification 1: 1 July 2017 Submission deadline 2: 17 July 2017 Acceptance notification 2: 31 July 2017 Final camera-ready versions of accepted papers: 5 August 2017 Workshop: 11 August 2017 Thank you, Dylan, Jacob, Smitha and Adrian ---------------------------------------------- Adrian Weller -------------- next part -------------- An HTML attachment was scrubbed... URL: From dwang at cse.ohio-state.edu Thu Jun 8 21:36:28 2017 From: dwang at cse.ohio-state.edu (DeLiang Wang) Date: Thu, 8 Jun 2017 21:36:28 -0400 Subject: Connectionists: NEURAL NETWORKS, June 2017 Message-ID: <5eb7809b-a33a-a0ef-19be-9bd1beb20071@cse.ohio-state.edu> Neural Networks - Volume 90, June 2017 http://www.journals.elsevier.com/neural-networks Forecasting stochastic neural network based on financial empirical mode decomposition Jie Wang, Jun Wang Extending the Stabilized Supralinear Network model for binocular image processing Ben Selby, Bryan Tripp Persistent irregular activity is a result of rebound and coincident detection mechanisms: A computational study Mustafa Zeki, Ahmed A. Moustafa Collective mutual information maximization to unify passive and positive approaches for improving interpretation and generalization Ryotaro Kamimura Representation learning via Dual-Autoencoder for recommendation Fuzhen Zhuang, Zhiqiang Zhang, Mingda Qian, Chuan Shi, Xing Xie, Qing He A bag-of-paths framework for network data analysis Kevin Francoisse, Ilkka Kivimaki, Amin Mantrach, Fabrice Rossi, Marco Saerens Synchronised firing patterns in a random network of adaptive exponential integrate-and-fire neuron model F.S. Borges, P.R. Protachevicz, E.L. Lameu, R.C. Bonetti, K.C. Iarosz, I.L. Caldas, M.S. Baptista, A.M. Batista Robust fixed-time synchronization for uncertain complex-valued neural networks with discontinuous activation functions Xiaoshuai Ding, Jinde Cao, Ahmed Alsaedi, Fuad E. Alsaadi, Tasawar Hayat A time-delay neural network for solving time-dependent shortest path problem Wei Huang, Chunwang Yan, Jinsong Wang, Wei Wang From jzacks at wustl.edu Thu Jun 8 15:43:11 2017 From: jzacks at wustl.edu (Jeff Zacks) Date: Thu, 08 Jun 2017 19:43:11 -0000 Subject: Connectionists: Postdoctoral position and lab/manager position available in the Zacks lab Message-ID: <6E0F8177-7EC0-4701-BE52-5AA7ABAFD7F7@wustl.edu> Dear Colleagues, We have two positions available in the lab; one for a postdoctoral fellow, one for a lab manager/research assistant. Please pass these along to any graduating seniors or nearly-done PhD students you think would be appropriate. Thanks! Jeff Zacks Jeffrey M. Zacks, Ph.D. Associate Chair, Department of Psychological & Brain Sciences Professor of Radiology Washington University in Saint Louis 1 Brookings Drive St. Louis, MO 63130-4899 314-935-8454 314-935-7588 (fax) jzacks at wustl.edu http://dcl.wustl.edu/~jzacks 1) Postdoctoral position in the computational cognitive neuroscience of event cognition Dynamic Cognition Lab, Washington University The Dynamic Cognition Lab, headed by Jeff Zacks, seeks a postdoctoral researcher to work on an ONR-funded project examining comprehension and memory of complex, naturalistic events. This effort will involve computational modeling, behavioral experiments, and pattern-based fMRI. It will engage collaborators at Wash U, and also at UC Davis, Princeton, Harvard, and NYU. The position is funded for three years with potential for extended funding. Ideally, candidates will be available to start in Fall 2017. Potential applicants may want to have a look at the lab web site (dcl.wustl.edu ) for information on current related research. (See also psychweb.wustl.edu , and neuroscience.wustl.edu for information on related resources.) A PhD in Psychology or Neuroscience is required for this position. Desirable additional qualifications include: * Previous experience with neuroimaging, especially MVPA * An interest in event cognition and memory * A promising publication record To apply, please send a statement of research interests and CV, and have two letters of evaluation sent by faculty familiar with your work. Email submission is fine; please send application materials or questions about the position to jzacks at wustl.edu . If you prefer paper mail the address is: Department of Psychological & Brain Sciences Washington University Saint Louis, MO 63130 2) Lab manager/research assistant Washington University in St. Louis, Psychology Department Seeking a motivated associate to assist with behavioral and functional MRI experiments, starting summer 2017. An ideal candidate would be a newly-graduated undergraduate who has a strong curiosity about cognitive and computational neuroscience, and has relevant coursework and laboratory experience in this area. Duties will include interacting with human participants, data collection and analysis, and also managerial functions such as scheduling facilities and coordinating with other research team members. Required qualification: * Undergraduate degree in psychology, neuroscience, or a related field. Desirable qualifications: * Programming skills * Research experience with human subjects * Experience with functional MRI * Experience with film production This full-time, federally funded position provides a great opportunity to gain experience before going on to an advanced degree. St. Louis is a vibrant, affordable city, and Washington University has a rich community of cognitive scientists and neuroscientists. Two-year commitment required. Health benefits provided. To apply, see the PDF application at the Dynamic Cognition Laboratory website, http://dcl.wustl.edu . Jeffrey M. Zacks, Ph.D. Washington University Department of Psychology Campus Box 1125 St. Louis, MO 63130-4899 314.935.8454 jzacks at wustl.edu -------------- next part -------------- An HTML attachment was scrubbed... URL: From cgf at isep.ipp.pt Fri Jun 9 14:48:33 2017 From: cgf at isep.ipp.pt (Carlos Ferreira) Date: Fri, 9 Jun 2017 19:48:33 +0100 Subject: Connectionists: CFP: DATA STREAMS TRACK - ACM SAC 2018 (Submission deadline: September 15, 2017) Message-ID: <7d509cf8-c546-6c2e-86ca-be93076d2e96@isep.ipp.pt> *ACM Symposium on Applied Computing * The 33rd Annual ACM Symposium on Applied Computing in Pau, France April 9 ? 13, 2018 https://www.sigapp.org/sac/sac2018/ *Data Streams Track * http://www.cs.waikato.ac.nz/~abifet/SAC2018/ *Call for Papers * The rapid development in Big Data information science and technology in general and in growth complexity and volume of data in particular has introduced new challenges for the research community. Many sources produce data continuously. Examples include the Internet of Things (IoT), Smart Cities, Urban Computing, sensor networks, wireless networks, radio frequency identification, health-care devices and information systems, customer click streams, telephone records, multimedia data, scientific data, sets of retail chain transactions, etc. These sources are called data streams. A data stream is an ordered sequence of instances that can be read only once or a small number of times using limited computing and storage capabilities. These sources of data are characterized by being open-ended, flowing at high-speed, and generated by non stationary distributions. *TOPICS OF INTEREST * We are looking for original, unpublished work related to algorithms, methods and applications on big data streams and large scale machine learning. Topics include (but are not restricted) to: * Real-Time Analytics * Big Data Mining * Data Stream Models * Large Scale Machine Learning * Languages for Stream Query * Continuous Queries * Clustering from Data Streams * Decision Trees from Data Streams * Association Rules from Data Streams * Decision Rules from Data Streams * Bayesian networks from Data Streams * Feature Selection from Data Streams * Visualization Techniques for Data Streams * Incremental on-line Learning Algorithms * Single-Pass Algorithms * Temporal, spatial, and spatio-temporal data mining * Scalable Algorithms * Real-Time and Real-World Applications using Stream data * Distributed and Social Stream Mining * Urban Computing, Smart Cities * Internet of Things (IoT) *IMPORTANT DATES (strict) * 1. Paper Submission: September 15, 2017 2. Author Notification: November 10, 2017 3. Camera?ready copies: November 25, 2017 *PAPER SUBMISSION GUIDELINES * Papers should be submitted in PDF. Authors are invited to submit original papers in all topics related to data streams. All papers should be submitted in ACM 2-column camera ready format for publication in the symposium proceedings. ACM SAC follows a double blind review process. Consequently, the author(s) name(s) and address(s) must NOT appear in the body of the submitted paper, and self-references should be in the third person. This is to facilitate double blind review required by ACM. All submitted papers must include the paper identification number provided by the eCMS system when the paper is first registered. The number must appear on the front page, above the title of the paper. Each submitted paper will be fully refereed and undergo a blind review process by at least three referees. The conference proceedings will be published by ACM. The maximum number of pages allowed for the final papers is 6 pages. There is a set of templates to support the required paper format for a number of document preparation systems at: http://www.acm.org/sigs/pubs/proceed/template.html Important notice: 1. Please submit your contribution via SAC 2018 Webpage. 2. Paper registration is required, allowing the inclusion of the paper, poster, or SRC abstract in the conference proceedings. An author or a proxy attending SAC MUST present the paper. This is a requirement for including the work in the ACM/IEEE digital library. No-show of registered papers, posters, and SRC abstracts will result in excluding them from the ACM/IEEE digital library. *Student Research Competition * Graduate students seeking feedback from the scientific community on their research ideas are invited to submit original abstracts of their research work in areas of experimental computing and application development related to SAC 2018 Tracks. The SRC program is designed to provide graduate students the opportunity to meet and exchange ideas with researcher and practitioners in their areas of interest. All research abstract submissions will be reviewed by researchers and practitioners with expertise in the track focus area to which they are submitted. Authors of selected abstracts will have the opportunity to give poster and oral presentations of their work and compete for three top wining places. The SRC committee will evaluate and select First, Second, and Third place winners. The winners will receive cash awards and SIGAPP recognition certificates during the conference banquet dinner. Authors of selected abstracts are eligible to apply to the SIGAPP Student Travel Award program for support. Graduate students are invited to submit research abstracts (minimum of two pages; maximum of four pages) following the instructions published at SAC 2018 website. Submission of the same abstract to multiple tracks is not allowed. Submissions must address original and unpublished research work related to a SAC track, with emphasis on the innovation behind the research idea. The submission should address the research problem being investigated, the proposed approach and research methodology, and sample preliminary results of the work. In addition, the abstract should reflect on the originality of the work, innovation of the approach, and applicability of the results to real-world problems. All abstracts must be submitted thought the START Submission system. If you encounter any problems with your submission, please contact the Program Coordinator. Carlos Ferreira ISEP | Instituto Superior de Engenharia do Porto Rua Dr. Ant?nio Bernardino de Almeida, 431 4249-015 Porto - PORTUGAL tel. +351 228 340 500 | fax +351 228 321 159 mail at isep.ipp.pt | www.isep.ipp.pt From mark.humphries at manchester.ac.uk Fri Jun 9 10:06:01 2017 From: mark.humphries at manchester.ac.uk (Mark Humphries) Date: Fri, 9 Jun 2017 14:06:01 +0000 Subject: Connectionists: Call for abstracts: Integrated Systems Neuroscience 2017 meeting (September 7-8, Manchester, UK) Message-ID: <7E954275ED82B9468C2C731FB72522F5013E060E66@MBXP09.ds.man.ac.uk> We announce the second call for abstracts for the Integrated Systems Neuroscience meeting (7-8th September 2017, Manchester, UK). Abstract submission deadline: June 30th 2017 (Decision: July 28th) (Registration deadline: August 11th ) For abstract submission information and registration, please visit: https://www.bmh.manchester.ac.uk/conferences-meetings/isn2017/ Meeting information: The goal of this meeting is to present the state-of-the-art in integrated systems and computational approaches to key neural circuits. A poster session with wine reception will be held on the first evening. Confirmed speakers: Rune Berg (Copenhagen University) Tiago Branco (Sainsbury Wellcome Centre for Neural Circuits) Neil Burgess (Institute of Cognitive Neuroscience, UCL) Megan Carey (Champalimaud Institute, Lisbon) Claudia Clopath (Imperial College, London) Kate Jeffery (UCL) Christian Machens (Champalimaud Institute, Lisbon) Jonathan Pillow (Princeton) Simon Peron (New York University) Manuel Zimmer (IMP, Austria) Organisers: Mark Humphries & Rasmus Petersen (University of Manchester) Sponsors: we gratefully acknowledge the support of the Medical Research Council _____________________________________________________________________________ Dr Mark Humphries | MRC Senior non-Clinical Research Fellow | Faculty of Biology, Medicine & Health http://www.systemsneurophysiologylab.manchester.ac.uk/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From pstone at cs.utexas.edu Fri Jun 9 16:24:28 2017 From: pstone at cs.utexas.edu (Peter Stone) Date: Fri, 09 Jun 2017 15:24:28 -0500 Subject: Connectionists: Cogitai, Inc. -- Well-funded AI startup looking to hire Message-ID: <23440.1497039868@tosca.cs.utexas.edu> Cogitai, Inc., an AI-based startup focusing on continual learning, is seeking highly skilled and motivated individuals for immediate hire. About Cogitai ============= Cogitai, Inc. is dedicated to building artificial intelligences (AIs) that learn continually from interactive experience with the real world. Our goal is to build the brains, i.e., the continual-learning AI software, that will let everyday things that sense and act get smarter, more skilled, and more knowledgeable over time with experience. This experience will be shared across things and across domains to allow the rapid scaling-up of experience-based learning. In short, we aim to become the world leader in continual learning. Positions ========= We seek ambitious and dedicated individuals at the level of Ph.D. or equivalent. The ideal candidate will 1) have extensive AI expertise, especially in reinforcement learning, deep learning, and/or robotics; 2) have strong system-building skills; and 3) be passionate about helping us make continual learning practical in a broad range of applications. Our Team ======== Our team consists of many of the leading minds in reinforcement learning (RL), which is one of the core component technologies of continual learning. The three founders have a combined total of over 60 years of active research and development in AI, and many of our full-time employees have extensive hands-on research experience in RL. We also have assembled a "Brain Trust" of ten of the world's best academics in this area, who will be actively engaged in technology development for the company. Founders: Mark Ring, Peter Stone, and Satinder Singh VP of Engineering: Peter Wurman (co-founder of Kiva Systems) Brain Trust: Andy Barto, Michael Bowling, Peter Dayan, Charles Isbell, Michael Littman, David Parkes, Doina Precup, Ben Van Roy, Richard Sutton, Jianwei Zhang Timeline ======== Thanks to a substantial strategic investment from Sony (see www.cogitai.com for details), as well as various other sources of funding, Cogitai is prepared to hire qualified individuals for immediate start. Individuals who prefer to start later (but still within the next several months), are also encouraged to apply. Location and Working Hours ========================== We are a fully distributed company, so location is flexible. Employees are expected to be generally available at least during the core hours of 8am-2pm PT / 11am-5pm ET on weekdays. Contact ======= Webpage: http://www.cogitai.com/ If interested, contact us at hiring at cogitai.com ----- Peter Stone President and COO Cogitai, Inc. www.cogitai.com From smart at neuralcorrelate.com Sun Jun 11 08:39:35 2017 From: smart at neuralcorrelate.com (Susana Martinez-Conde) Date: Sun, 11 Jun 2017 08:39:35 -0400 Subject: Connectionists: FINAL CALL for illusions: the 13th Best Illusion of the Year Contest In-Reply-To: <017501d2e2ae$b2dd7350$189859f0$@neuralcorrelate.com> References: <012301d2e2ad$d6a71760$83f54620$@neuralcorrelate.com> <017501d2e2ae$b2dd7350$189859f0$@neuralcorrelate.com> Message-ID: <01c601d2e2af$cb27e7f0$6177b7d0$@neuralcorrelate.com> ***FINAL CALL FOR ILLUSION SUBMISSIONS: THE WORLD'S 13TH ANNUAL BEST ILLUSION OF THE YEARSM CONTEST*** ***The FINAL (no exceptions) submission date is June 16th!*** http://illusionoftheyear.com We are happy to announce the 13th edition of the world's Best Illusion of the YearSM Contest!! Submissions are now welcome! In 2015, the Best Illusion of the YearSM Contest became an annual online event, with the goal of bringing the creativity of the illusion creator community all around the world. Anybody with an internet connection can now participate! No matter where you live, you can be a contestant, and/or vote for the Top 3 winners! Contestants are invited to submit 1-minute videos (mp4 or YouTube) featuring novel illusions (unpublished, or published no earlier than 2016) of any sensory modality (visual, auditory, etc.) and/or cognitive nature. The content of the 1-minute video presenting your illusion is solely up to you, and the only requirement is that it wows all viewers! Some examples include, but are not limited to: * -A slide presentation, or succession of images, with a voice over (and/or written text, if you prefer) * -A video of yourself describing your illusion * -A video animation/enactment of your illusion An international panel of impartial judges will rate all the videos and narrow them down to the Top 10. Then, online voters around the world will choose their favorite illusions from the Top 10 finalists. All Top 10 finalists (and any illusions distinguished with Honorable Mentions) will receive a commemorative plaque. In addition, the Top 3 winners will receive cash prizes: $3,000 USD for first place; $2,000 USD for second place, and $1,000 USD for third place. The Judge Panel will rate illusions according to: * -Significance to our understanding of the human mind and brain * -Simplicity of the description * -Sheer beauty * -Counterintuitive quality * -Spectacularity Submissions will be held in strict confidence by the Judge Panel. Only the Top 10 illusions (and illusions distinguished with Honorable Mentions, if any) will be posted online, to allow worldwide voting. Participation in the Best Illusion of the YearSM Contest does not preclude you from also submitting your work for publication elsewhere. By participating in the Best Illusion of the YearSM Contest you agree to have your illusion posted on the Contest website and included in press releases and promotional materials/fundraising initiatives for the Contest. You (and your co-authors, if appropriate) will retain the full copyright of your illusion, and receive full credit as illusion creator(s). Illusions submitted to previous editions of the contest can be re-submitted to the 2016 Contest, as long as they meet the above requirements and were not among the Top 10 finalists in previous years. You can send your 1-minute video to Susana Martinez-Conde via email ( smart at neuralcorrelate.com) until June 16th, 2016. On behalf of the Executive Board of the Neural Correlate Society: Jose-Manuel Alonso, Stephen Macknik, Susana Martinez-Conde, Luis Martinez, Xoana Troncoso, Peter Tse ----------------------------------- Susana Martinez-Conde, PhD Professor of Ophthalmology, Neurology, and Physiology & Pharmacology Empire Innovator Scholar Director, Laboratory of Integrative Neuroscience State University of New York (SUNY) Downstate Medical Center 450 Clarkson Ave, Brooklyn NY 11203, USA Email: smart at neuralcorrelate.com Phone: +1 718-270-4520 http://smc.neuralcorrelate.com -------------- next part -------------- An HTML attachment was scrubbed... URL: From bhammer at techfak.uni-bielefeld.de Sun Jun 11 07:38:50 2017 From: bhammer at techfak.uni-bielefeld.de (Barbara Hammer) Date: Sun, 11 Jun 2017 13:38:50 +0200 Subject: Connectionists: Call for Papers Workshop NC^2 at GCPR Message-ID: <8fd5f0c7-217b-2e8b-e401-70bea76796f4@techfak.uni-bielefeld.de> CALL FOR SUBMISSIONS The 8th Workshop New Challenges in Neural Computation and Machine Learning (NC^2) will be held in conjunction with GCPR'17 (https://gcpr2017.dmi.unibas.ch/en/) at September, 12th, 2016, in Basel, Switzerland. See: http://www.techfak.uni-bielefeld.de/~bhammer/GINN/NC2/ Submissions are welcome connected to the following non-exhaustive list of topics: * deep learning * nonlinear dimensionality reduction, blind source separation, and visualisation * models for very large or streaming data sets, life-long and online learning, * parallelization and hardware implementations * models for non-euclidean data * recursive models and dynamic systems * adaptive data representations * bio-inspired models * challenges in machine learning * challenges in applications Submission deadline at 31. July 2017. INVITED SPEAKERS: Frank Hutter, Thomas Martinetz ORGANIZERS: Barbara Hammer, Thomas Martinetz, Thomas Villmann PROGRAM COMMITTEE: Michael Biehl, Tarek Besold, Joschka Boedecker, Kerstin Bunte, Benoit Frenay, Andrej Gisbrecht, Fred Hamker, Sven Hellbach, Christian Igel, Paulo Lisboa, Alessio Micheli, Madalena Olteanu, Felix Reinhart, Franco Scarselli, Frank-Michael Schleif, Fiedhelm Schwenker, Udo Seiffert, Peter Tino, Heiko Wersing, Rolf W?rtz -- Prof. Dr. Barbara Hammer CITEC centre of excellence Bielefeld University D-33594 Bielefeld Phone: +49 521 / 106 12115 Fax: +49 521 / 106 12181 From mfasli at essex.ac.uk Mon Jun 12 01:07:21 2017 From: mfasli at essex.ac.uk (Fasli, Maria) Date: Mon, 12 Jun 2017 05:07:21 +0000 Subject: Connectionists: CFP: Frontiers and Advances in Data Science, 23-25 October 2017, Xian, China Message-ID: CALL FOR PAPERS 1st International Conference on the Frontiers and Advances in Data Science (FADS) 23-25 October 2017, Xian, China Our lives and society have been transformed by advances in modern information and communication technologies. Devices such as mobile phones and tablets and applications such as social networks have changed how we interact with the world around us and each other and the way we conduct business, government and science. With computational technologies permeating almost all aspects of human activity the amount of data being generated is constantly increasing and we are surrounded by a wealth of new forms of data. We are at the cusp of a new data and information revolution. This proliferation of data calls for novel, multi and interdisciplinary approaches in data science and analytics to tackle the problems that data pose. New approaches for harnessing data and drawing insights will bring huge benefits to fields as diverse as health, finance, running smarter cities, the environment, business and public policy. The First International Conference on Frontiers and Advances in Data Science (FADS) will bring together scientists, professionals, industry practitioners and users from range of disciplinary backgrounds and application domains to share knowledge and the latest developments in data science and analytics. We invite the submission of original and previously unpublished theoretical and practical work in all fields of data science and analytics including methodologies and techniques for big data. All submissions will be reviewed by at least two members of the Program Committee on the basis of novelty, technical quality, relevance to the conference theme, significance, and clarity of presentation. Accepted papers will be submitted for inclusion into IEEE Xplore and selected papers will be invited to a special Journal issue. Further information is available from the FADS 2017 website http://www.fads.org.uk FADS welcomes submissions on (but not limited to) the following topics: Data Science Foundations ? Machine Learning ? Mathematical and statistical models ? Novel theoretical models ? Computational Models ? Preprocessing and dimensionality reduction ? Efficiency and complexity ? Optimization Analytics ? Multi-stream reasoning and analytics ? Text analysis and mining ? Causal inference ? Visualisation ? Modelling complex and big data ? Personalisation analytics and recommender systems ? Social network analytics ? Multimedia/image processing and analytics ? Information retrieval and search ? Semantic information extraction and reasoning Data Infrastructure and Management ? New data standards ? Data cleansing ? Data integration ? Data sharing ? Data linkage ? Data curation and publishing ? Cloud/Grid/Stream Computing architectures ? Distributed and parallel/high performance processing ? Data warehouses ? Open platforms for analytics ? Big data architectures and platforms Security, governance and privacy ? Governance ? Intrusion, anomaly and threat detection ? Data integrity ? Data security and risk ? Trust and trust management ? Privacy preserving techniques and anonymisation ? Privacy protection standards and policies ? Legal aspects of analytics and big data Social and economic aspects ? Ethical considerations in the era of analytics and big data ? New business models ? Sociological aspects of analytics and big data ? Analytics and big data for sustainable development ? Analytics and big data for the social good Applications ? Scientific applications of analytics and big data ? Internet of Things ? Internet of Persons ? Smart Cities and Transport ? Business and Finance Analytics ? Healthcare analytics and decision support ? Decision making and support systems ? Analytics and big data for policy making and the public sector ? Social networks and applications ? Industrial applications of analytics and big data ? Analytics for telecommunications and networks applications Important Dates Paper Submission deadline: 10th July 2017 Notification of acceptance: 20th August 2017 Camera-ready Manuscript: 1st September 2017 Registration deadline: (for accepted papers): 10th September 2017 For more information please visit the FADS webpage: http://www.fads.org.uk Conference Organisation General Chairs ? Prof Maria Fasli, UNESCO Chair in Analytics and Data Science, University of Essex ? Prof Peng Jinye, Dean of School of Information Science and Technology, Northwest University Program Chairs ? Prof Hangzai Luo, Northwest University, China ? Prof Frank Wang, University of Kent, UK ? Prof Mohammad Essaaidi, ENSYAS, Morocco ? Prof Bruce Bassett, University of Cape Town; AIMS, South Africa Contact Information fads at essex.ac.uk; iads at essex.ac.uk Professor Maria Fasli PhD, NTF, FHEA UNESCO Chair in Analytics and Data Science Director, Institute for Analytics and Data Science University of Essex T +44 (0)1206 872327 E mfasli at essex.ac.uk Follow us on Twitter @EssexIADS [Description: Macintosh HD:private:var:folders:hc:0szf3wnn715_cxly5980l7440000gn:T:TemporaryItems:29215_unitwin_uk_essex_analytics_logo_en_ALL_BLACK.PNG] PA Emma McClelland T +44 (0)1206 873496 E ejmccl at essex.ac.uk ? http://www.essex.ac.uk/iads/ Join us for the Essex Big Data and Analytics Summer School 24 July to 4 August 2017 http://www.essex.ac.uk/iads/events/summer-school.aspx WE ARE ESSEX TOP 20 FOR RESEARCH EXCELLENCE TOP 10 FOR STUDENT SATISFACTION [cid:151665F6-E8F1-4A17-9389-99AD7CA1258A][cid:D76B1163-14E8-437E-9527-0D8A24DF4188] [cid:3A2CFA73-7229-4ECA-AFD9-B700A40C0BAA] -------------- next part -------------- An HTML attachment was scrubbed... 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Name: 3A2CFA73-7229-4ECA-AFD9-B700A40C0BAA.png Type: image/png Size: 1714 bytes Desc: 3A2CFA73-7229-4ECA-AFD9-B700A40C0BAA.png URL: From dengdehao at gmail.com Sun Jun 11 06:53:51 2017 From: dengdehao at gmail.com (Teng Teck Hou) Date: Sun, 11 Jun 2017 18:53:51 +0800 Subject: Connectionists: [INNS-BigData 2018] Call for Papers Message-ID: <002001d2e2a1$0436d4c0$0ca47e40$@gmail.com> [Apologies for cross-postings] ########################################################### CALL FOR PAPERS The 3rd INNS Conference on Big Data 2018 April 17-19, 2018, Bali, Indonesia Homepage: http://www.innsbigdata2018.org #######################Description:###################### The International Neural Network Society (INNS) is the premiere organization for individuals interested in a theoretical and computational understanding of the brain and applying that knowledge to develop new and more effective forms of machine intelligence. INNS was formed in 1987 by the leading scientists in the neural network field. Researchers and colleagues who work in the area of big data and machine learning, we are happy to announce "The 3 rd INNS Conference on Big Data and Deep Learning 2018 (INNS BDDL 2018) will be held on April 18 ? 19, 2018 in Sanur ? Bali, Indonesia. The aim of this conference is to create a valuable and important forum for scientists and engineers throughout the world to present the latest research findings and idea at the forefront of Big Data and Deep Learning. Accepted papers will be published by Elsevier, Scopus indexed. Several papers will be selected for possible publication in top journals. The conference will feature a comprehensive technical program with technical tracks on: Track 1: Big Data Track 2: Big Data Algorithms Track 3: Deep Learning Track 4: Application Areas Important Dates ################################################################### * Tutorial and workshop proposals (Submission) 15 September 2017 * Tutorial and workshop proposals (Decision) 30 September 2017 * Paper submission 2 November 2017 * Decision notification 31 December 2017 * Conference 17 - 19 April 2018 ################################################################### Previous INNS Conference: INNS 2016 in Thessaloniki, Greece INNS 2015 in San Francisco, USA #################### Organizing committees ############### General chairs Seiichi Ozawa, Kobe University, Japan Ah-Hwee Tan, Nanyang Technological University, Singapore Program Chairs Plamen P. Angelov, Lancaster University, UK Asim Roy, Arizona State University, USA Mahardhika Pratama, Nanyang Technological University, Singapore Local Committee Chairs Dieky Adzkiya, Institut Teknologi Sepuluh Nopember, Indonesia Advisory Board Yew-Soon Ong, Nanyang Technological University, Singapore Robert Kozma, University of Memphis, USA Sankar K. Pal, Indian Statistical Institute, India Haibo He, University of Rhode Island, USA Witold Pedrycz, University of Alberta, Alberta, Canada Leszek Rutkowski, Czestochowa University of Technology, Poland Nikola Kasabov, Auckland University of Technology, New Zealand Fernando Gomide, University of Campinas, Brazil Marley Vellasco, Pontif?cia Universidade Cat?lica do Rio de Janeiro, Brazil Yoonsuck Choe, Texas A&M University Minho Lee, Kyungpook National University, South Korea Bao-Liang Lu, Shanghai Jiao Tong University, China Irwin King, the Chinese University of Hong Kong, Hong kong Mohammad Nuh, Institut Teknologi Sepuluh Nopember, Indonesia Joni Hermana, Institut Teknologi Sepuluh Nopember, Indonesia Heru Setyawan, Institut Teknologi Sepuluh Nopember, Indonesia Tutorials/Workshop Chairs Igor Skrjanc, University of Ljubljana, Slovenia Sundaram Suresh, Nanyang Technological University, Singapore Poster Sessions Chairs Eko Setiadji, Institut Teknologi Sepuluh Nopember, Indonesia Agus Salim, La Trobe University, Australia Special Sessions Chairs Justin Wang, La Trobe University, Australia Yongping Pan, National University of Singapore, Singapore Panel Chairs Sreenatha Anavatti, University of New South Wales, Australia Mukesh Prasad, University of Technology, Sydney, Australia Achmad Affandi, Institut Teknologi Sepuluh Nopember, Indonesia Awards Chairs Tapabrata Ray, University of New South Wales, Australia Dejan Dovzan, University of Ljubljana, Slovenia Richard J. Oentaryo, McLaren Applied Technologies, Singapore Publication Chairs Edwin Lughofer, Johannes Kepler University, Austria Jose Antonio Iglesias, Carlos III University of Madrid, Spain Moamar Sayed?Mouchaweh, Institute Mines Telecom Lille Douai, France Publicity Chair Simone Scardapane, Sapienza University, Italy Teng Teck Hou, Singapore Management University, Singapore Hendro Nurhadi, Institut Teknologi Sepuluh Nopember, Indonesia International Liaison Chairs Yun Sing Koh, University of Auckland, New Zealand Deepak Puthal, University of Technology Sydney, Australia Wirawan, Institut Teknologi Sepuluh Nopember, Indonesia Webmaster Mohamad Abdul Hady, Institut Teknologi Sepuluh Nopember, Indonesia Andri Ashfahani, Institut Teknologi Sepuluh Nopember, Indonesia Choiru Za?in, La Trobe University, Australia ###### Topics and Areas include, but not limited to the following###### >>BIG DATA Autonomous, online, incremental learning in big data High dimensional data, feature selection, feature transformation for big data Scalable algorithms for big data Big data analytics Data stream analytics Parallel & distributed computing for big data analytics (cloud, map-reduce, etc.) Online learning Online multimedia/stream/text analytics Link and graph mining Big data and cloud computing, large scale stream processing on the cloud Big data and collective intelligence/collaborative learning Big data and hybrid systems Big data and self-aware systems Big data and infrastructure Big data visualization >>Big Data Algorithm Neuromorphic hardware for scalable machine learning Evolving systems for big data analytics Evolutionary systems and big data Fuzzy systems and big data Cognitive modelling and big data Probabilistic approach for big data Concept drift detection for big data Granular computing for big data Transfer learning for big data >>Deep Learning Deep belief network Convolutional neural network Long short term memory Deep network architecture Deep autoencoder Deep stacked network Deep learning for natural language processing Deep learning for machine vision Evolving deep network Transfer learning in deep learning Online deep learning >>Application Areas Banking and Securities Communications, Media and Entertainment Healthcare Providers Education Manufacturing & Natural Resources Government Insurances Retail & Wholesale Trade Transportation Energy & Utilities, Etc. -------------- next part -------------- An HTML attachment was scrubbed... URL: From C.Li at kent.ac.uk Mon Jun 12 13:12:51 2017 From: C.Li at kent.ac.uk (Caroline Li) Date: Mon, 12 Jun 2017 17:12:51 +0000 Subject: Connectionists: PhD Scholarship in Deep Learning with GAN Message-ID: <1513CCE4-6582-4908-8013-86496AE8E04C@kent.ac.uk> Dear All, Would be much appreciated if you could please help publish this scholarship opportunity to the mailinglist. Many thanks in advance! Caroline =================================== PhD Scholarship in Deep Learning http://www.jobs.ac.uk/job/AYN907/funded-phd-in-deep-learning/ Three-year PhD scholarship is available to UK, EU and overseas students and will cover home tuition fees (?4,179 for 2017/18) plus a maintenance grant equivalent to the full UK Research Council rate (?14,553 for 2017/18). The amount of scholarship is ?18,732 for 2017/18. The scholarship for year 2,3 should foresee a similar amount with slightly yearly increase. Tuition fees at the home/EU rate will be paid by the School of Computing on behalf of the student. Students from overseas will receive the same contribution to their fees (?4,179 in 2017/18) but will need to demonstrate that they can fund the difference between overseas and home fees (Oversea fee is currently ?16,480). Research Theme: This project aims to explore how deep learning can be used to deal with multiscale multidimensional biomedical signals, and to evaluate the effectiveness of different learning algorithms in recognizing the signal patterns. It will examine this problem by comparing with traditional algorithms and propose novel deep learning architectures with adversarial network (i.e. GAN) to explore discriminative power in a particular domain of biomedical signals (i.e. EMG, ECG, EEG). Location : University of Kent at Medway, UK (40-50 mins from London by train) Supervisors : Dr. Caroline Ling Li, Prof. Philippe De Wilde, Dr. Palaniappan Ramaswamy Key words : Machine learning, Deep learning, Biomedical signal analysis, EMG Criteria Candidates must hold a good Honours degree (First or 2:1) or a Master's degree at merit or distinction in a relevant subject or equivalent. Applicants whose first language is not English must hold IELTS (or equivalent) at 6.5 with no element less than 6.0. Strong programming or/and math skill is preferred. Previous research experience leading to publications would be an advantage. How to apply Deadline: Friday 30 June 2017 Expected start date: Autumn 2017 ?Other scholarship available for starting on September 2018? For further detail: https://www.cs.kent.ac.uk/people/staff/cl339/doc/2017PhdAdv.pdf Please send a covering letter and CV to c.li at kent.ac.uk, including contact detail, research interest and your suitability for this award. Please also include experience, if any, of academic or professional research; experience, if any, of teaching or mentoring. The successful candidate will be based at the Medway Campus. Information about the Medway Campus can be found here: http://www.kent.ac.uk/locations/medway/campus/index.html For questions about applications, please contact c.li at kent.ac.uk http://www.jobs.ac.uk/job/AYN907/funded-phd-in-deep-learning/ Caroline Li | Director of Internationalisation |School of Computing | University of Kent M3-34, Medway Building, University of Kent, Chatham Maritime, Kent, ME4 4AG 7NZ, UK T: +44 (0) 1634 202987 | E: c.li at kent.ac.uk www.kent.ac.uk | Facebook | Twitter | YouTube | Flickr | Weibo Account (????????)| WeChat (UK-Kent) The UK?s European university Locations in Canterbury, Medway, Athens, Brussels, Paris and Rome In the top 10% of the world?s leading universities for international outlook Times Higher Education World University Rankings 2015 4th highest score in the UK for overall student satisfaction National Student Survey (NSS) 2016 Ranked 20th in the Times Higher Education (THE) ?Table of Tables? 2016 -------------- next part -------------- An HTML attachment was scrubbed... URL: From joel at kth.se Mon Jun 12 16:06:14 2017 From: joel at kth.se (Joel Brynielsson) Date: Mon, 12 Jun 2017 22:06:14 +0200 (W. Europe Daylight Time) Subject: Connectionists: Deadline extended: 2017 European Intelligence & Security Informatics Conference (EISIC 2017) Message-ID: [Apologies for multiple postings.] *** Submission deadline extended to June 25, 2017. *** European Intelligence & Security Informatics Conference (EISIC 2017) The Premier European Conference on Counterterrorism and Criminology Dekelia Air Base, Attica, Greece, September 11-13, 2017 http://www.eisic.org/ ---------------------------- Call for Papers ---------------------------- Intelligence and Security Informatics (ISI) is an interdisciplinary field of research that focuses on the development, use, and evaluation of advanced information technologies, including methodologies, models and algorithms, systems, and tools, for local, national, and international security related applications. Over the past decade, the ISI research community has matured and delivered an impressive array of research results that are both technically innovative and practically relevant. The 2017 European ISI Conference is the eighth ISI conference to be organized by the European ISI community. The conference was first held in 2008, and has been organized annually since 2011. ISI conferences provide stimulating forums for gathering people from previously disparate communities including those from academia, government, and industry. We invite academic researchers from the ISI community as well as related areas to contribute to EISIC 2017 which will be held in Athens, Greece, in September 2017. Research should be relevant to protection of local/national/international security and safety, including applications focusing on counterterrorism, crisis management, disaster prevention, cybercrime, etc. Topics of interest include (but are not limited to) the following: 1. Tools and Techniques for Analyzing Data - Web-based intelligence monitoring, mining, and analysis - Computer support for cybercrime investigations and digital forensics - Visualization techniques for intelligence analysis and investigation - Cybercrime detection and analysis - Authorship profiling and identification - Privacy, security, and civil liberties issues - Detection and analysis of information operations and disinformation - Data analytics for darknet marketplaces - Social network analysis for intelligence analysis and investigations 2. Infrastructure Protection and Emergency Response - Cyber-infrastructure design and protection - Intrusion detection - Bio-terrorism tracking, alerting, and analysis - Transportation and communication infrastructure protection - Border/transportation safety - Emergency response and management - Disaster prevention, detection, and management 3. Terrorism Informatics - Terrorism related analytical methodologies and software tools - Terrorism knowledge portals and databases - Social network analysis (radicalization, recruitment, conducting operations) - Lone wolf terrorism - Countering terrorism 4. Data Science for Computational Criminology - Models for forecasting crime and measuring impact - Models for crime pattern recognition - Comprehensible/transparent models for crime analysis - Data representation and fusion - Methods for gang, volume, and special crime analysis - Handling class-imbalance and biased samples for crime analysis - Applications of intelligent decision support within law enforcement 5. Decisioning and Interaction - Visualization and visual analytics systems - Interactive and computational decision support - Analytical reasoning systems - Resilience in intelligence analysis - Investigative and analytic decision-making - Legal, privacy, and ethical factors in intelligence analysis 6. Internet of Things and Security - Resilience and security in IoT applications - Privacy and integrity aspects related to IoT - Detection, prevention, response and mitigation of cyber threats to IoT - Threat models and IoT 7. Border Control - Authentication - Risk assessment of travelers - Modeling of border control processes - Surveillance and situational awareness - Technology impact, acceptance, and integration ---------------------------- Types of Submissions ---------------------------- Regular papers, short papers, and posters. ---------------------------- Important Dates ---------------------------- - Paper submission due: June 25, 2017 <- DEADLINE EXTENDED - Notification of acceptance: July 15, 2017 - Camera ready paper due: July 31, 2017 - Authors' registration due: July 31, 2017 - Conference: September 11-13, 2017 ---------------------------- Organization ---------------------------- Honorary General Chair - Petros Kotsiopoulos, Hellenic Air Force Academy, Greece General Chair - Panagiotis Karampelas, Hellenic Air Force Academy, Greece Program Chair - Joel Brynielsson, KTH Royal Institute of Technology, Sweden Track Chairs - Martin Boldt, Blekinge Institute of Technology, Sweden - Anton Borg, Blekinge Institute of Technology, Sweden - Lisa Kaati, Uppsala University, Sweden - Neesha Kodagoda, Middlesex University, UK - Margit Pohl, TU Wien, Austria - B. L. William Wong, Middlesex University, UK Publicity Chair - Thirimachos Bourlai, West Virginia University, USA Publication Chair - Christos Pavlatos, Hellenic Air Force Academy, Greece Local Arrangement Chair - Ioanna Lekea, Hellenic Air Force Academy, Greece ---------------------------- Program Committee ---------------------------- Please refer to http://www.eisic.org/committee.aspx for the full list of members. From k.g.a.vervaeke at medisin.uio.no Mon Jun 12 16:58:28 2017 From: k.g.a.vervaeke at medisin.uio.no (Koen Gerard Alois Vervaeke) Date: Mon, 12 Jun 2017 20:58:28 +0000 Subject: Connectionists: PhD and Postdoc positions in Systems Neuroscience in Oslo References: <70504CBF-BCA8-4008-9A81-CC8AB2B2C200@ibv.uio.no> Message-ID: <8524B077-F2A5-4934-B2E9-42042C861ABF@ibv.uio.no> A PhD and postdoc fellow position in Neuroscience is available in the group of Associate Professor Koen Vervaeke: http://vervaeke-lab.org/. The lab is located at the Division of Physiology, Institute of Basic Medical Sciences (IMB), at the University of Oslo. The project is funded by a Starting Grant from the European Research Council (ERC). The position is funded initially for a period of 3 years and available from April 1, 2017. The starting date is flexible. See also links on FENS Jobs: http://www.fens.org/News-Activities/Jobs/job-13305/ http://www.fens.org/News-Activities/Jobs/job-13306/ Description of the project and the job We are searching for highly motivated candidates with a strong interest in cortical circuits. We aim at determining cortical circuit functions in behaving animals and study the contribution of specific neuron types. The candidate will use in-vivo two-photon imaging and electrophysiology techniques to record neuronal activity, and use optogenetics to identify cell-specific contributions to cortex function. Qualifications Highly motivated students with a degree in neuroscience, biology, medicine, computer science, physics or engineering are encouraged to apply. Ideally, the applicants have basic experience with some of the following disciplines; Electrophysiology, microscopy, optogenetics or computational neuroscience. The candidates should be handy and be comfortable to work with rodents. Good programming skills (eg. Matlab/LabVIEW), being critical, and being a team player, are all a big plus. The candidate should be able to work independently and structured, while at the same time engage in close collaborations. Applicants must hold an MSc or M.D. degree. Koen Vervaeke www.vervaeke-lab.org Domus Medica, University of Oslo Sogsvannsveien 9, 0372 Oslo, Norway Koen Vervaeke -------------- next part -------------- An HTML attachment was scrubbed... URL: From bhuang at vt.edu Tue Jun 13 11:30:24 2017 From: bhuang at vt.edu (Bert Huang) Date: Tue, 13 Jun 2017 11:30:24 -0400 Subject: Connectionists: Final CFP: ICML 2017 Workshop on Deep Structured Prediction Message-ID: Everyone, This is a final reminder that submissions for our ICML 2017 Workshop on Deep Structured Prediction are due this Friday. See the full CFP below, now with a list of great invited speakers that will continue to grow. Bert -- Bert Huang, Ph.D. Assistant Professor Dept. of Computer Science, Virginia Tech http://berthuang.com ****************************************************** Workshop of the International Conference on Machine Learning (ICML) 2017 Sydney, Australia 11 August 2017 Website: http://deepstruct.github.io/icml17 TL;DR: 4 pages, in ICML format, submit by June 16 PT. Deep learning has revolutionized machine learning for many domains and problems. Today, most successful applications of deep learning involve predicting single variables (like univariate regression or multi-class classification). However, many real problems involve highly dependent, structured variables. In such scenarios, it is desired or even necessary to model correlations and dependencies between the multiple input and output variables. Such problems arise in a wide range of domains, from natural language processing, computer vision, computational biology and others. Some approaches to these problems directly use deep learning concepts, such as those that generate sequences using recurrent neural networks or that output image segmentations through convolutions. Others adapt the concepts from structured output learning. These structured output prediction problems were traditionally handled using linear models and hand-crafted features, with a structured optimization such as inference. It has recently been proposed to combine the representational power of deep neural networks with modeling variable dependence in a structured prediction framework. There are numerous interesting research questions related to modeling and optimization that arise in this problem space. The workshop will bring together experts in machine learning and application domains whose research focuses on combining deep learning and structured models. Specifically, it will provide an overview of existing approaches from various domains to distill from their success principles that can be more generally applicable. We will also discuss the main challenges arising in this setting and outline potential directions for future progress. The target audience consists of researchers and practitioners in machine learning and application areas. Submissions We invite the submission of short papers no longer than four pages, including references, addressing machine learning research that intersects structured prediction and deep learning, including any of the following topics: ? Deep learning approaches for structured-output problems ? Integration of deep learning with structured-output learning ? End-to-end learning of probabilistic models with non-linear potentials ? Deep learning applications with dependent inputs or outputs Papers should be formatted according to the ICML template: (http://media.nips.cc/Conferences/ICML2017/icml2017.tgz ). Only papers using the above template will be considered. Word templates will not be provided. Papers should be submitted through easychair at the following address: https://easychair.org/conferences/?conf=1stdeepstructws Papers will be reviewed for relevance and quality. Accepted papers will be posted online. Authors of high-quality papers will be offered oral presentations at the workshop, and we will award a best-paper and runner-up prize sponsored by Google. Important Dates ? Abstracts deadline: June 16, 2017 PT ? Notification of acceptance: July 1, 2017 ? Camera-ready deadline: August 1, 2017 Confirmed invited speakers ? Ryan Adams, Harvard University ? Raquel Urtasun, University of Toronto; Head of Uber ATG Toronto ? Andrew McCallum, University of Massachusetts Amherst ? Dhruv Batra, Georgia Tech / Facebook Program Committee ? David Belanger, University of Massachusetts Amherst ? Matthew Blaschko, KU Leuven ? Ryan Cotterell, Johns Hopkins University ? Ming-Wei Chang, Microsoft Research ? Hal Daum? III, University of Maryland ? Justin Domke, University of Massachusetts Amherst ? David Duvenaud, University of Toronto ? Daniel Lowd, University of Oregon ? Andrew McCallum, University of Massachusetts Amherst ? Eliyahu Kiperwasser, Bar-Ilan University ? Vitaly Kuznetsov, Google ? Kevin Murphy, Google ? Jason Naradowsky, University of Cambridge ? Sebastian Nowozin, Microsoft Research, Cambridge, UK ? Nanyun Peng, Johns Hopkins University ? Amirmohammad Rooshenas, University of Oregon ? Dan Roth, University of Illinois at Urbana-Champaign ? Alexander Rush, Harvard University ? Sameer Singh, University of California Irvine ? Uri Shalit, New York University ? Andreas Vlachos, University of Sheffield ? Yi Yang, Georgia Institute of Technology ? Scott Yih, Microsoft Research ? Yangfeng Ji, University of Washington ? Yisong Yue, California Institute of Technology ? Shuai Zheng, eBay Organizers ? Isabelle Augenstein, University College London ? Kai-Wei Chang, University of California at Los Angeles ? Gal Chechik, Bar-Ilan University / Google ? Bert Huang, Virginia Tech ? Andre Martins, Unbabel and Instituto de Telecomunicacoes ? Ofer Meshi, Google ? Yishu Miao, University of Oxford ? Alexander Schwing, University of Illinois Urbana-Champaign -------------- next part -------------- An HTML attachment was scrubbed... URL: From dorien.herremans at gmail.com Tue Jun 13 20:49:51 2017 From: dorien.herremans at gmail.com (Dorien Herremans) Date: Wed, 14 Jun 2017 08:49:51 +0800 Subject: Connectionists: =?utf-8?q?Special_Issue_on_Deep_Learning_for_Musi?= =?utf-8?q?c_and_Audio_in_Springer=E2=80=99s_Neural_Computing_and_A?= =?utf-8?q?pplications?= Message-ID: Special Issue on Deep Learning for Music and Audio in Springer's Neural Computing and Applications (Impact factor: 1.492) Submission deadline: November 17th Description and covered topics There has been tremendous interest in deep learning across many fields of study. Recently, these techniques have gained popularity in the field of music. Projects such as Magenta (Google's Brain Team's music generation project), Jukedeck and others testify to their potential. Following the recent success of the First International Workshop on Deep Learning and Music (DLM2017) joint with IJCNN, this special issue aims to offer a venue for publishing the latest state-of-the art in the field of Deep Learning for Music and Audio. While humans can rely on their intuitive understanding of musical patterns and the relationships between them, it remains a challenging task for computers to capture and quantify musical structures. Recently, researchers have attempted to use deep learning models to learn features and relationships that allow us to accomplish tasks in music transcription, audio feature extraction, emotion recognition, music recommendation, and automated music generation. The goal of this special issue is to provide a forum for advancing the state-of-the-art in Deep Learning techniques in the field of Music and Audio. High quality papers are welcomed, including but not limited to topics listed below: - Deep learning for feature extraction and semantic modeling for music and audio - Modeling hierarchical and long term music structures using deep learning - Modeling ambiguity and preference in music - Applications of deep networks for music and audio such as audio transcription, voice separation, music recommendation and etc. - Novel architectures designed for music and audio - Software frameworks and tools for deep learning in music and audio About the journal Neural Computing & Applications is an international journal which publishes original research and other information in the field of practical applications of neural computing and related techniques such as genetic algorithms, fuzzy logic and neuro-fuzzy systems. All items relevant to building practical systems are within its scope, including contributions in the area of applicable neural networks theory, supervised and unsupervised learning methods, algorithms, architectures, performance measures, applied statistics, software simulations, hardware implementations, benchmarks, system engineering and integration and case histories of innovative applications. The Original Articles will be high-quality contributions, representing new and significant research, developments or applications of practical use and value. They will be reviewed by at least two referees. Guest editors: Dr. D. Herremans, Queen Mary University of London Prof. Dr. C.H. Chuan, University of North Florida Submission deadline: November 17th Please use the submission system of the journal for your submissions and indicate the special issue during submission at https://www.springer.com/journal/521/submission Any inquiries can be directed at Dr. Dorien Herremans through dorien.herremans [a] gmail [] com Join the Deep Learning for Music mailing list at https://groups.google.com/forum/#!forum/icdlm -- Dorien Herremans, PhD Marie-Curie Fellow http://dorienherremans.com Queen Mary University of London School of Electronic Engineering and Computer Science C4DM - Centre for Digital Music, London Workshop on Deep Learning and Music , May'17 Anchorage, Alaska. -------------- next part -------------- An HTML attachment was scrubbed... URL: From thylton at eng.ucsd.edu Tue Jun 13 12:54:18 2017 From: thylton at eng.ucsd.edu (Todd Hylton) Date: Tue, 13 Jun 2017 09:54:18 -0700 Subject: Connectionists: Neuromorphic Computing Symposium - Knoxville TN, USA - July 17-19 Message-ID: We are pleased to invite you to attend the Neuromorphic Computing Symposium at the Crowne Plaza in downtown Knoxville, Tennessee, on July 17-19, 2017. The goal of this symposium is to bring together leading researchers in neuromorphic computing to present new research and develop new collaborations. Our focus will be on architectures, models, and applications of neuromorphic systems, resulting from a very successful workshop last year. This year's keynote speakers include Stan Williams, Hewlett Packard Enterprise Senior fellow; Hans Christen, director of the Center for Nanophase Materials Sciences at Oak Ridge National Laboratory; and Ralph Lydic, world-renowned neuroscientist and professor in the Department of Psychology at the University of Tennessee. We are also having a dinner, co-sponsored by Knowm and Duke University, at the Lonesome Dove restaurant in Knoxville, opened recently by celebrity chef Tim Love ( http://lonesomedoveknoxville.com/). More details on this year's symposium are available at: https://ornlcda.github.io/neuromorphic2017/ The registration deadline for the symposium is *June 30*, and the deadline for reserving a hotel in the symposium room block is *June 16*. Please register and reserve your hotel room as soon as possible to guarantee attendance to the symposium! Registration and hotel information are available at https://ornlcda.github.io/neuromorphic2017/registration.html. We are currently accepting short abstract submissions for posters to be presented at the symposium. Please email a title, author list, presenter email, and short abstract (< 250 words) to Katie Schuman at schumancd at ornl.gov by *June 21*. Notifications for poster acceptances will be sent on June 28. We look forward to seeing you in Knoxville in July!? -- Regards, Todd Hylton Executive Director, Contextual Robotics Institute Professor of Practice, Department of Electrical and Computer Engineering Jacobs School of Engineering UC San Diego -------------- next part -------------- An HTML attachment was scrubbed... URL: From zrinka at nld.ds.mpg.de Wed Jun 14 10:39:44 2017 From: zrinka at nld.ds.mpg.de (Zrinka Gattin) Date: Wed, 14 Jun 2017 16:39:44 +0200 Subject: Connectionists: Call for Abstracts: Bernstein Conference 2017 In-Reply-To: References: Message-ID: <352e1445-9c3c-b3be-87cf-04a94355810c@nld.ds.mpg.de> *Call for Abstracts: Bernstein Conference 201**7* * **New deadline for abstract submission:* June 28, 2017 for abstracts aimed as contributed talks and posters July 31, 2017 abstracts aimed as posters only ************************************************************** Satellite Workshops September 12-13, 2017 Main Conference September 13-15, 2017 PhD Symposium September 12 & 15, 2017 ************************************************************** The Bernstein Conference started out as the annual meeting of the Bernstein Network Computational Neuroscience and has become the largest annual Computational Neuroscience conference in Europe with more than 500 international participants in recent years. This year the conference is organized by the Bernstein Center for Computational Neuroscience G?ttingen. The main conference (Sep 13-15, 2017) will be accompanied by satellite workshops (Sep 12-13, 2017) and a PhD symposium (Sep 12 & 15, 2017). An important part of the main conference will be the two poster sessions. We are now inviting the submission of abstracts from all relevant areas. Authors of most accepted abstracts will get the chance for a poster presentation, a small number of abstracts will be selected for contributed talks during the main conference. Please note the earlier submission deadline for authors applying for a talk. All accepted abstracts will be published online and will be citable via Digital Object Identifiers (DOI). *DETAILS FOR ABSTRACT SUBMISSION:* Please note that the submission of an abstract does not replace the conference registration (www.bernstein-conference.de/registration ). Poster space is limited and early submission is encouraged. For abstract submission visit: www.nncn.de/en/bernstein-conference/2017/abstracts *ABSTRACT SUBMISSION DEADLINES:* Posters to be considered as contributed talks: June 28, 2017 Other posters: July 31, 2017 *TRAVEL GRANTS* To support the participation of young researchers at the Bernstein Conference, the Bernstein Coordination Site offers 10 Travel Grants, each endowed with 500 ?. Please find further information under www.nncn.de/en/bernstein-conference/2017/travel-grant *CONFERENCE DETAILS:* Conference registration is *OPEN* Early registration deadline: July 09, 2017 *ACCOMMODATION AND HOTEL RESERVATION:* *We strongly recommend early room booking!* *The number of available accommodation is limited due to several concurrent events. And many Hotels in G?ttingen are already booked out for that week!* We arranged for room contingents in a variety of hotels that you may book by yourself by email or phone. Please follow the instructions at our Accommodations Website (http://www.nncn.de/de/bernstein-conference/2017/venue/accommodation). We would like to emphasize that these room contingents will be held open up to different expiration dates depending on the hotel (or until they are filled). Many expiration dates are already mid of June 2017. We strongly encourage participants to share rooms and to book rooms as a group. *We emphasize that it will be very difficult to book accommodation beyond the expiration dates. * Please find a list of the hotels at our Accommodations Website. VENUE Satellite Workshops, Main Conference and PhD Symposium: The Central Lecture Hall (ZHG), Platz der G?ttinger Sieben 5, 37073 G?ttingen, Germany VENUE Public Lecture: Alte Mensa, Wilhelmsplatz 1, 37073 G?ttingen, Germany, September 13, 2017, 8 pm For more information on the conference, please visit the websitehttp://www.bernstein-conference.de We are looking forward to welcoming you in G?ttingen! Program chair: Fred Wolf Koordinator: Zrinka Gattin Co-Organizers: Bernstein Coordination Site (BCOS): Alexandra Stein, Kerstin Schwarzwaelder -- Dr Zrinka Gattin Bernstein Center for Computational Neuroscience (BCCN) Goettingen Bernstein Focus Neurotechnology (BFNT) Goettingen PhD Program in Theoretical and Computational Neuroscience Am Fassberg 17 D-37077 Goettingen Phone: +49 (0)551 5176 418 Fax: +49 (0)551 5176 14418 E-Mail:zrinka at nld.ds.mpg.de -------------- next part -------------- An HTML attachment was scrubbed... URL: From gabriel.synnaeve at gmail.com Wed Jun 14 14:33:44 2017 From: gabriel.synnaeve at gmail.com (gabriel synnaeve) Date: Wed, 14 Jun 2017 14:33:44 -0400 Subject: Connectionists: Call for papers for the Video Games and Machine Learning workshop Message-ID: Dear colleagues, We are inviting submissions to the VGML workshop @ICML2017 https://syhw.github.io/vgml_workshop_icml2017/ Important dates: - Submission deadline: June 23rd midnight pacific time. - Acceptance/rejection answer by: July 7th. - Workshop at ICML (Sydney): August 10th. Abstract: Good benchmarks are necessary for developing artificial intelligence. Recently, there has been a growing movement for the use of video games as machine learning benchmarks, and also an interest in the applications of machine learning from the video games community. While games have been used for AI research for a long time, only recently have we seen modern machine learning methods applied to video games. This workshop focuses on complex games which provide interesting and hard challenges for machine learning. Going beyond simple toy problems of the past, and games which can easily be solved with search, we focus on games where learning is likely to be necessary to play well. This includes strategy games such as StarCraft, open-world games such as MineCraft, first-person shooters such as Doom, as well as hard and unsolved 2D games such as Ms. Pac-Man and Montezuma's Revenge. While we see most of the challenges in game-playing, there are also interesting machine learning challenges in modeling and content generation. This workshop aims at bringing together all researchers from ICML who want to use video games as a benchmark. Submissions: We invite contributions on any topic that brings together video games and machine learning. We welcome contributions up to four (4) pages of body, with unlimited pages for references and appendices. Reviewers can take their decision based only on the four pages of body. Submissions should be blind (anonymous version). All accepted papers will have a poster, we will have dedicated time for poster sessions, and we reserve orals for submissions with (in order of priority): interactive demos, demos, and videos. Submission URL: https://easychair.org/conferences/?conf=vgml2017 Paper style kit (same as ICML): https://2017.icml.cc/Conferences/2017/StyleAuthorInstructions Invited Speakers: Katja Hofmann, Microsoft Research, project Malmo lead Honglak Lee, University of Michigan, associate professor, Google Brain, research scientist Spyros Samothrakis, University of Essex, research fellow Marc G. Bellemare, Google DeepMind, research scientist (confirmed) Max Jaderberg, Google DeepMind, research scientist Blizzard speaker about StarCraft (confirmed) OpenAI speaker about Universe/RL (tentative) Yuandong Tian, Facebook, research scientist Magnus Nordin, Electronic Arts, head of DL team Thank you, Gabriel Synnaeve (gab at fb.com, Facebook AI Research) Julian Togelius (julian at togelius.com, NYU) Tom Schaul (schaul at gmail.com, Google DeepMind) Oriol Vinyals (vinyals at google.com, Google DeepMind) Nicolas Usunier (usunier at fb.com, Facebook AI Research) -------------- next part -------------- An HTML attachment was scrubbed... URL: From poma at mmmi.sdu.dk Wed Jun 14 17:58:16 2017 From: poma at mmmi.sdu.dk (Poramate Manoonpong) Date: Wed, 14 Jun 2017 21:58:16 +0000 Subject: Connectionists: [meetings] CALL FOR CONTRIBUTIONS- Workshop: Bio-inspired control for interlimb coordination and adaptation in legged robots at SWARM2017 Message-ID: CALL FOR CONTRIBUTIONS- Workshop: Bio-inspired control for interlimb coordination and adaptation in legged robots at SWARM2017, Kyoto University, Japan ------------------------------------------------------------------------------------------------------------ Deadline for poster abstract submission: June 23, 2017 Notification of acceptance: July 24, 2017 Workshop: October 29 (full-day), 2017 Workshop Overview ------------------ Biological walking systems can adaptively form their interlimb coordination for locomotion to deal with different situations. Neurophysiological studies have revealed that the adaptive coordination emerges from dynamical interactions of neural activities, plasticity, musculoskeletal systems, and the environment. Achieving this on legged robots remains a grand challenge. Thus our workshop "Bio-inspired control for interlimb coordination and adaptation in legged robots" at SWARM 2017 (http://www.ohk.hiroshima-u.ac.jp/SWARM2017/) will bring together leading experts, working in the domains of bio-inspired control of legged robots, to present their recent achievements on robot locomotion with adaptive interlimb coordination for speed-dependent adaptation, environment-dependent adaptation, body-dependent adaptation, and task-dependent adaptation. We will also discuss future directions to overcome this challenge. The full-day workshop is composed of the following parts: 1) Invited talks by experts from animal locomotion, bio-inspired locomotion control, and legged robots, 2) poster presentations, 3) Discussion and future steps We are also pleased to invite contributions in the form of 1-2 pages conf. style abstract http://www.ohk.hiroshima-u.ac.jp/SWARM2017/ on (but are not limited to) the following topics. The selected contributions will be presented in a form of a poster during the workshop and the SWARM conference. We particularly encourage young scientists to contribute and attend, even presenting their research at an early stage an engage in discussions. We also welcome live demonstrations on robot locomotion and collective behavior. Submissions have to be sent to poma at mmmi.sdu.dk in PDF format. One author per accepted workshop contribution (poster, demo) and attendee are required to register for the workshop and SWARM2017. We hope that you will be able to attend and look forward to seeing you in Kyoto, Japan! The workshop organizers: Poramate Manoonpong, Shinya Aoi, and Yuichi Ambe ===================== The Workshop topics include (but are not limited to) the following: * Animal locomotion, * Bio-inspired locomotion control, * Legged robots, * Dynamic locomotion, * Adaptive behavior ===================== Tentative List of Speakers of the workshop: * Amir Ayali (School of Zoology, Tel Aviv University, Tel Aviv, Israel) * Emily Baird (Lund Vision Group, Department of Biology, Lund University, Lund, Sweden) * Poramate Manoonpong (Embodied AI & Neurorobotics Lab, Centre for BioRobotics, The Maersk Mc-Kinney Moller Institute, University of Southern Denmark, Denmark) * Malte Schilling (The Center of Excellence for Cognitive Interaction Technology, University of Bielefeld, Bielefeld, Germany) * Yuichi Ambe (Department of Applied Information Sciences, Graduate School of Information Sciences, Tohoku University, Sendai, Japan) * Shinya Aoi (Department of Aeronautics and Astronautics, Graduate School of Engineering, Kyoto University, Kyoto, Japan) * Gen Endo (School of Engineering, Tokyo Institute of Technology, Tokyo, Japan) * Yasuhiro Fukuoka (Intelligent Systems Engineering, College of Engineering, Ibaraki University, Ibaraki, Japan) * Alexander Spr?witz (Dynamic Locomotion Group, Max Planck Institute for Intelligent Systems (MPI-IS) Stuttgart, Germany) * Auke Ijspeert (Biorobotics Laboratory, the Swiss Federal Institute of Technology (EPFL), Lausanne, Switzerland) * Dai Owaki (Research Institute of Electrical Communication, Tohoku University, Sendai, Japan) Best regards Poramate Manoonpong Associate Professor SDU Embodied Systems for Robotics and Learning, The Maersk Mc-Kinney Moller Institute T +45 65 50 86 98 poma at mmmi.sdu.dk University of Southern Denmark Campusvej 55 DK-5230 Odense M www.sdu.dk [http://cdn.sdu.dk/img/sdulogos/SDU_BLACK_signatur.png] -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: image001.png Type: image/png Size: 1388 bytes Desc: image001.png URL: From chriskanan at gmail.com Thu Jun 15 10:47:33 2017 From: chriskanan at gmail.com (Christopher Kanan) Date: Thu, 15 Jun 2017 10:47:33 -0400 Subject: Connectionists: Call for Papers - ICCV Workshop on Mutual Benefits of Cognitive and Computer Vision (MBCC 2017) Message-ID: ## CALL FOR PAPERS (CfP) ## ICCV International Workshop on ?Mutual Benefits of Cognitive and Computer Vision (MBCC)? 29 October 2017 Venice, Italy (https://sites.google.com/site/mbcc2017w/home) _____________ Aim and Scope As researchers working at the intersection of biological and machine vision, we have noticed an increasing interest in both communities to understand and improve on each other?s insights. Recent advances in machine learning (especially deep learning) have led to unprecedented improvements in computer vision. These deep learning algorithms have revolutionized computer vision, and now rival humans at some narrowly defined tasks such as object recognition (e.g., the ImageNet Large Scale Visual Recognition Challenge). In spite of these advances, the existence of adversarial images (some of which have perturbations imperceptible to humans) and rather poor generalizability across datasets point out the flaws present in these networks. On the other hand, the human visual system remains highly efficient at solving real-world tasks and capable of solving many visual tasks. We believe that the time is ripe to have extended discussions and interactions between researchers from both fields in order to steer future research in more fruitful directions. This workshop will compare human vision to state-of-the-art machine perception methods, with specific emphasis on deep learning models and architectures. Our workshop will address many important questions. They include: 1) What are the representational differences between human and machine perception? 2) What makes human vision so effective? and 3) What can we learn from human vision research? Addressing these questions is not as difficult as previously thought due to technological advancements in both computational science and neuroscience. We can now measure human behavior precisely and collect huge amounts of neurophysiological data using EEG and fMRI. This places us in a unique position to compare state-of-the-art computer vision models and human behavioral/neural data, which was impossible to do a few years ago. However, this advantage also comes with its own set of problems: Which task/metric to use for comparison? What are the representational similarities? How different are the computations in a biological visual system when compared to an artificial vision system? How does human vision achieve invariance? This workshop is a great opportunity for researchers working on human and/or machine perception to come together and discuss plausible solutions to some of the aforementioned problems. ______ Topics for submission include but are not limited to: - architectures for processing visual information in the human brain and computer vision (e.g. feedforward vs feedback, shallow vs deep networks, residual, recurrent, etc) - limitations of existing computer vision/deep learning systems compared to human vision - learning rules employed in computer vision and by the brain (e.g. unsupervised/semi-supervised learning, Hebb rule, Spike timing dependent plasticity) - representations/features in humans and computer vision - tasks/metrics to compare human and computer vision (e.g. eye fixation, reaction time, rapid categorization, visual search) - new benchmarks (e.g. datasets) - generalizability of machine representation to other tasks - new techniques to measure and analyze human psychophysics and neural signals - the problem on invariant learning - conducting large-scale behavioral and physiological experiments (e.g., fMRI, cell recording) ______________ Invited Speakers We have invited leading researchers from both Cognitive Science and Computer Vision to inspire discussions and collaborations. 1. Michael Tarr, Carnegie Mellon University 2. TBD ___________________ Submission Guidelines We are inviting both full paper (5-8 pages) and extended abstract (2-4 pages) submissions to the workshop. Submitted papers must follow the ICCV paper format and guidelines (available on the ICCV 2017 webpage). All submissions will be handled via the CMT website: https://cmt3.research. microsoft.com/MBCC2017/ Full papers: The submitted papers should have a maximum length of 8 pages, including figures and tables; additional pages must contain only cited references. The review will be double-blind. Please make sure all authors or references to authors are anonymized. Full paper submissions must not have been published before. Extended abstracts: We invite submissions of extended abstracts of ongoing or already published work as well as demos or prototype systems (ICCV format). Authors are given the opportunity to present their work to the right audience. The review will be single-blind. ______________ Important Dates Full Paper submission: August 1st, 2017 Extended Abstract submission: August 5th, 2017 Notification of acceptance: August 15th, 2017 Camera-ready paper due: September 30th, 2017 Workshop: October 29th, 2017 (Morning Session) _____________________________ Workshop Organizing Committee Ali Borji, University of Central Florida Pramod RT, Indian Institute of Science Elissa Aminoff, Fordham University Christopher Kanan, Rochester Institute of Technology _______ Contact mbccw.iccv2017 at gmail.com -------------- next part -------------- An HTML attachment was scrubbed... URL: From aw665 at cam.ac.uk Fri Jun 16 10:40:22 2017 From: aw665 at cam.ac.uk (Adrian Weller) Date: Fri, 16 Jun 2017 10:40:22 -0400 Subject: Connectionists: CfP: Reliable Machine Learning in the Wild at ICML 2017, deadline 16 June or 17 July Message-ID: <014e01d2e6ae$7c509700$74f1c500$@cam.ac.uk> Hi everyone, Please note that our first deadline is today but we have a second deadline on July 17. Papers submitted to the workshop should be up to four pages long excluding references and in ICML 2017 format. *Authors with a relevant submission to the main conference are invited to submit their paper as is.* Papers can be submitted through EasyChair: https://easychair.org/conferences/?conf=rmlw17. As the review process is not blind, authors can reveal their identity in their submissions. Accepted submissions will be presented as posters or talks. Thanks, Adrian From: Adrian Weller [mailto:aw665 at cam.ac.uk] Sent: Thursday, June 8, 2017 5:13 PM Cc: 'Dylan Hadfield-Menell' ; 'Jacob Steinhardt' ; 'Smitha Milli' Subject: CfP: Reliable Machine Learning in the Wild at ICML 2017, deadline 16 June or 17 July Call for Papers for ICML 2017 Workshop on Reliable Machine Learning in the Wild, please forward to others who may have interest. Workshop website https://sites.google.com/site/wildml2017icml/ When can we trust that a system that has performed well in the past will continue to do so in the future? Designing systems that are reliable in the wild is essential for high stakes applications such as self-driving cars and automated surgical assistants. This workshop aims to bring together researchers in diverse areas such as reinforcement learning, human-robot interaction, game theory, cognitive science, and security to further the field of reliability in machine learning. We will focus on three aspects - robustness (to adversaries, distributional shift, model misspecification, corrupted data); awareness (of when a change has occurred, when the model might be miscalibrated, etc.);and adaptation (to new situations or objectives). We aim to consider each of these in the context of the complex human factors that impact the successful application or meaningful monitoring of any artificial intelligence technology. Together, these will aid us in designing and deploying reliable machine learning systems. We are seeking submissions that deal with the challenges of reliably applied machine learning techniques in the real world. Some possible questions touching on each of these categories are given below, though we also welcome submissions that do not directly fit into these categories. * Robustness: How can we make a system robust to novel or potentially adversarial inputs? What are ways of handling model mis-specification or corrupted training data? What can be done if the training data is potentially a function of system behavior or of other agents in the environment (e.g. when collecting data on users that respond to changes in the system and might also behave strategically)? * Awareness: How do we make a system aware of its environment and of its own limitations, so that it can recognize and signal when it is no longer able to make reliable predictions or decisions? Can it successfully identify "strange" inputs or situations and take appropriately conservative actions? How can it detect when changes in the environment have occurred that require re-training? How can it detect that its model might be mis-specified or poorly-calibrated? * Adaptation: How can machine learning systems detect and adapt to changes in their environment, especially large changes (e.g. low overlap between train and test distributions, poor initial model assumptions, or shifts in the underlying prediction function)? How should an autonomous agent act when confronting radically new contexts? * Monitoring: How can we monitor large-scale systems in order to judge if they are performing well? If things go wrong, what tools can help? * Value Alignment: For systems with complex desiderata, how can we learn a value function that captures and balances all relevant considerations? How should a system act given uncertainty about its value function? Can we make sure that a system reflects the values of the humans who use it? * Reward Hacking: How can we ensure that the objective of a system is immune to reward hacking? Reward hacking is a way that the system can attain high reward that was unintended by the system designer. For example see https://blog.openai.com/faulty-reward-functions/ * Human Factors: Actual humans will be interacting and adapting to these systems when they are deployed. How do properties of humans affect the guarantees of performance that the system has? What if the humans are suboptimal or even adversarial? How to submit Papers submitted to the workshop should be up to four pages long excluding references and in ICML 2017 format. They should be submitted via Easychair at https://easychair.org/conferences/?conf=rmlw17 . As the review process is not blind, authors can reveal their identity in their submissions. Accepted submissions will be presented as posters or talks. We will accept submissions at two deadlines. One earlier deadline, with an earlier acceptance notification, and one later one. Our goal is to allow for late submission to the extent that we can, while still allowing some people to get early confirmation of paper acceptance, which they might need in order to arrange travel in time. Important Dates: Submission deadline 1: 16 June 2017 Acceptance notification 1: 1 July 2017 Submission deadline 2: 17 July 2017 Acceptance notification 2: 31 July 2017 Final camera-ready versions of accepted papers: 5 August 2017 Workshop: 11 August 2017 Thank you, Dylan, Jacob, Smitha and Adrian ---------------------------------------------- Adrian Weller -------------- next part -------------- An HTML attachment was scrubbed... URL: From huajin.tang at gmail.com Sun Jun 18 04:02:25 2017 From: huajin.tang at gmail.com (Huajin Tang) Date: Sun, 18 Jun 2017 16:02:25 +0800 Subject: Connectionists: 2nd CFP: 2017 IEEE Symposium on Neuromorphic Cognitive Computing, 27th Nov - 1st Dec 2017 Honolulu, Hawaii, USA Message-ID: 2017 IEEE Symposium on Neuromorphic Cognitive Computing (IEEE SNCC 2017) 27th Nov - 1st Dec 2017 Honolulu, Hawaii, USA *Call for Papers:* The 2017 IEEE Symposium on Neuromorphic Cognitive Computing (SNCC 2017) will be a part of the 2017 IEEE Symposium Series on Computational Intelligence (SSCI 2017). The SNCC?17 will provide an important platform for the researchers to exchange the ideas and to bring new theoretical and technical advances in neuromorphic cognitive computing, and in turn to benefit highly demanded application areas across neuromorphic engineering, neuromorphic circuits design, machine learning, cyborg intelligence, cognitive robotics, etc. The website: *www.ele.uri.edu/ieee-ssci2017/SNCC.htm .* *Important Dates: * Deadline of Paper Submissions: July 16, 2017 Notification to Authors: August 27, 2017 Final Submission: September 24, 2017 Early Registration: September 24, 2017 *Topics: * The topics include, but are not limited to: ? Neuromorphic computing ? Cognitive computing models ? Spiking neural networks (SNNs) ? STDP and spike-timing based learning ? Neuromorphic visual and auditory processing ? Brain-inspired data representation ? Neural coding ? Event based processing ? Deep learning for SNNs ? Neuromorphic systems for machine learning ? Spatiotemporal Spike Pattern Analysis ? Brain inspired model for sound, vision and speech ? Hardware implementation of SNNs ? FPGA or GPU accelerator for SNNs ? Neuromorphic sensors and devices ? Neuromorphic chips/hardware platforms ? SNN applications in machine learning ? Cyborg intelligence ? Cognitive robotics *Special Sessions:* ? Design Methods, Tools and Examples for FPGA-Based Acceleration of Artificial Neural Network. Organizers: Pengju Ren, and Michel A. Kinsy ? Learning Methods in Spiking Neural Networks Organizers: Hong Qu, Yongqing Zhang and Malu Zhang. *Publications:* Accepted papers after peer-review will be published in the IEEE SSCI conference proceedings and online IEEExplore. *SNCC 2017 Chairs:* Prof. Huajin Tang, Sichuan University, China htang at scu.edu.cn Prof. Jeff Krichmar, University of California at Irvine, USA jkrichma at uci.edu Prof. Tiejun Huang, Peking University, China tjhuang at pku.edu.cn Dr. Garrick Orchard, National University of Singapore garrickorchard at nus.edu.sg -------------- next part -------------- An HTML attachment was scrubbed... URL: From terry at salk.edu Fri Jun 16 19:35:41 2017 From: terry at salk.edu (Terry Sejnowski) Date: Fri, 16 Jun 2017 16:35:41 -0700 Subject: Connectionists: Gradient Descent for Spiking Neural Networks In-Reply-To: Message-ID: Spiking network models are not differentiable because of discontinuities at the spike times. This has prevented learning in spiking networks by gradient descent. We have a way to overcome this problem and show that it is possible to train spiking recurrent networks to solve temporal sequence problems over a wide range of time scales using backpropagation through time: https://arxiv.org/abs/1706.04698 This can be applied to any spiking neuron model including the Hodgkin-Huxley model, leaky integrate and fire neurons, the Morris-Lecar model and the FitzHugh-Nagumo model. Terry ----- From joxe.aizpurua at gmail.com Sun Jun 18 17:30:27 2017 From: joxe.aizpurua at gmail.com (Joxe Inaxio Aizpurua) Date: Sun, 18 Jun 2017 22:30:27 +0100 Subject: Connectionists: Ph.D. position at the University of Strathclyde, Glasgow, U.K. Message-ID: *Optimising Maritime System Operations through Asset Health Prognostics* The Institute for Energy and Environment (Department of Electronic and Electrical Engineering) in collaboration with the Maritime Safety Research Centre (Department of Naval Architecture, Ocean and Marine Engineering) at the University of Strathclyde (Glasgow, Scotland, U.K.), offers a Ph.D. position in the area of prognostics and health management methods for reliability, availability, maintainability and safety (RAMS) of maritime systems. *PhD Research Description* Safety and reliability are at the heart of sustainable marine operations. Effective risk management and maintenance planning throughout a vessel?s lifecycle is an intricate task due to the complexity and dynamic nature of modern vessels. Thanks to the modern technologies and increased monitoring systems on-board ships, there is room to optimize system operations and improve risk management and maintenance planning through risk monitoring and prognostics and health management (PHM) applications. Namely, it is possible to link system-level vessel operational parameters with component-level PHM indicators so as to plan an optimized system operation strategy and extend the useful life of the vessel?s components. The main focus of this project will be on the use and development of PHM methods for optimized system operation. This will involve the development and application of data analytics, artificial intelligence and RAMS methods. Particular cases of interest are predictive monitoring capabilities of electrical components and the power and speed management of vessel?s propulsion machinery assuring the engine?s safe operation. The Institute for Energy and Environment has an extensive experience of developing and delivering PHM applications for a number of industrial partners and the Maritime Safety Research Centre is engaged in a number of industrial research projects with a focus on on-board risk management. Additionally, so as to maximize the outcomes of the project, the candidate will be closely working with DNV GL and Royal Caribbean Cruises Ltd so as to develop an industry focused application of the project. The PhD thesis will be completed in the University of Strathclyde, in a nurturing environment with excellent, well-established prospects for professional career development. We are looking for candidates with Engineering or Management Science background to start as soon as possible. The successful candidate will be highly motivated, independent and yet an excellent team player, well organised, and result-oriented. The ideal candidate will have the following: ? A Masters or First Class Honours degree (or equivalent) in Engineering (marine, mechanical, electrical) or a related Management Science area. ? Experience with reliability engineering and system safety and/or prognostics and health management methods. ? Experience with artificial intelligence methods. ? Programming skills: Matlab, R, Python, C++. *Working conditions* Full-time status as a PhD-candidate for a period of 3 years. Funding for UK/EU Students. Funding amount: the funding covers Home-Scotland/EU student tuition fees and stipend (?14653 per year) in line with University rates (A student from the rest of the UK may be considered for a partial grant). *Information and applying* For more information and informal questions about the project, please contact Professor Stephen McArthur: s.mcarthur at strath.ac.uk; *Deadline* Application closing date 14/07/2017. Prompt application is advised, as this position is only available until a suitable candidate is found. -- *Joxe Aizpurua.* -------------- next part -------------- An HTML attachment was scrubbed... URL: From stavros.petridis04 at imperial.ac.uk Mon Jun 19 08:38:44 2017 From: stavros.petridis04 at imperial.ac.uk (Petridis, Stavros) Date: Mon, 19 Jun 2017 12:38:44 +0000 Subject: Connectionists: CfP BMVC 2017 workshop on Lip-reading using Deep Learning Methods Message-ID: Call for Papers and Extended Abstracts BMVC workshop on ?Lip-reading using Deep Learning Methods? Date: September 7th 2017 Location: Imperial College London Website: http://www.talking-heads.eu/bmvc/ Lip-reading is a field of major importance for a wide range of applications, such as silent dictation, speech recognition in noisy environments, improved hearing aids and biometrics. It lies at the intersection of computer vision and speech recognition, which are the two fields that pioneered deep learning methods. The aim of the workshop is to gather researchers on audiovisual speech recognition and lip-reading to disseminate their work and to exchange views on the new potentials of the field created by the advent of deep learning methods. Submissions Topics include, but are not limited to: ? Deep Learning methods for Lip-Reading ? Audiovisual Speech Recognition and fusion methods ? Combinations of probabilistic and Deep Learning methods for Lip-Reading ? Visual units for Lip-Reading ? Audiovisual biometrics ? Tracking methods for Lip-Reading ? Multi-View Lip-Reading ? Audiovisual Speech Synthesis ? Lip-Reading and Audiovisual Databases Papers should be formatted according to the BMVC template: https://bmvc2017.london/paper-submission. Papers should be submitted through the following CMT site: https://cmt3.research.microsoft.com/LRDLM2017 The papers will be included in the conference proceedings. Extended Abstracts Presentations not accompanied by a paper are also encouraged, in order to promote dissemination of recent and ongoing research. In the latter case, a 2-page extended abstract is required. The extended abstracts are not considered to be publications and will not be included in the conference proceedings. The deadline for submission of extended abstracts is 24 August 2017 Important Dates Paper Submission Deadline: 10 July 2017 Paper Acceptance Notification: 17 July 2017 Camera Ready: 25 July 2017 Extended Abstracts Submission Deadline: 24 August 2017 Keynote Speakers: Prof. Andrew Zisserman, University of Oxford, Deep Mind, UK Joon Son Chung, University of Oxford, UK The Scientific Programme Committee: Dr Gerasimos Potamianos, University of Thessaly, Greece Dr Andrew Senior, Google DeepMind, London, UK Dr Takeshi Saitoh, Kyushu Institute of Technology, Japan Dr Helen Bear, University of East London, UK Dr Darryl Stewart, Queen?s University of Belfast, N. Ireland, UK Xiaohua Huang, University of Oulu, Finland Yannis Assael, Google DeepMind, London, UK Brendan Shillingford, Google DeepMind, London, UK Joon Son Chung, University of Oxford, UK The Organizers: Dr Themos Stafylakis, University of Nottingham, UK Dr Stavros Petridis, Imperial College London, UK Dr Georgios Tzimiropoulos, University of Nottingham, UK Prof Maja Pantic, Imperial College London, UK Stavros Petridis, Research Fellow Department of Computing Imperial College London https://ibug.doc.ic.ac.uk/people/spetridis -------------- next part -------------- An HTML attachment was scrubbed... URL: From iccv17publicity at gmail.com Mon Jun 19 11:05:36 2017 From: iccv17publicity at gmail.com (Ali Shokoufandeh) Date: Mon, 19 Jun 2017 11:05:36 -0400 Subject: Connectionists: Call for Participation: ICCV 2017 Doctoral Consortium Message-ID: Call for Participation: ICCV 2017 Doctoral ConsortiumOverview The ICCV Doctoral Consortium provides a unique opportunity to students who are close to finishing, or who have very recently finished, their doctorate degree, to interact with renowned and experienced researchers in the field, and discuss with them their ongoing research and career plans. One senior member of the community is assigned as mentor to each student participating in the Doctoral Consortium, based on the student's preference or similarity of research interests. At the meeting, each student will present a poster either overviewing his or her thesis research or a single recent paper, which will be discussed with the mentors and other participants. Eligibility All Ph.D. students in computer vision who will graduate within the next 6 months, as well as those who have graduated in the past 6 months, are eligible. Submission Guidelines Eligible students who would like to participate in the Doctoral Consortium should submit an application via CMT at https://cmt3.research.microsof t.com/ICCVDC2017/. The application is due on 1st August 2017, and should include the following: 1. Expected graduation date. 2. The applicant's CV. 3. Consent to share the CV with companies attending ICCV. (yes/no) 4. A two-page research statement summarizing the applicant's research and progress to date. 5. The title, author list and short abstract of the poster that the applicant would like to present at the consortium, which may (or not) be a work that the applicant is presenting at the conference. 6. A signed note from the advisor providing: a) a confirmation of the date of graduation of the applicant and b) his/her availability to become a mentor. 7. First and last name, affiliation and email address of 5 potential mentors, ranked from most to least preferred. Note that there is no mentor list provided; applicants should identify researchers from industry or academia. Do not include the advisor in the list. Items 2,4,6 should be combined into a single pdf file. The rest will be part of the submission form. Incomplete applications will be rejected. Review Process If all applications cannot be supported, selection will be based on the above material and the student's graduation date. Institutional representation will be taken into account. Travel Awards Selected students will receive travel reimbursements for part of their expenses. The amount is still to be determined. Receipts are required for the reimbursement process. Additional details will be posted. Important Dates Submission deadline: 1st August, 2017 Notification of acceptance: 13th August, 2017 Doctoral Consortium event: 26th October, 2017 (12am - 2pm) Contact Samuel Rota Bul? Mapillary Research samuel at mapillary.com -------------- next part -------------- An HTML attachment was scrubbed... URL: From kanair at araya.org Mon Jun 19 11:57:05 2017 From: kanair at araya.org (Ryota Kanai) Date: Tue, 20 Jun 2017 00:57:05 +0900 Subject: Connectionists: Consciousness Research Network (CoRN) meeting in Taipei, Taiwan (November 3-5) Message-ID: Dear Colleagues, We are delighted to announce our first Consciousness Research Network (CoRN) meeting to be held in Taipei, Taiwan, November 3-5, 2017. The focus of the meeting is to connect researchers in the fields of philosophy, neuroscience, psychology, cognitive science, medical science, biology, robotics and related disciplines in order to deepen our understanding of the nature of consciousness. In the meeting, participants will be encouraged to discuss and develop new collaborations in the Asia-Pacific region and beyond. We aim to establish this as an annual meeting to continually encourage international collaborations on consciousness research. For more information, please visit: http://www.conresnet.org *The Consciousness Research Network (CoRN) Meeting 2017* Dates: November 3-5, 2017 Venue: Auditorium and Activity Center, National Yang-Ming University , Taipei, Taiwan Confirmed Speakers: Zoltan Dienes (University of Sussex, UK) Qiufang Fu (Chinese Academy of Science, China) Jakob Hohwy (Monash University, Australia) Allen Y. Houng (National Yang-Ming University, Taiwan) Brown Hsieh (Duke-NUS Medical School, Singapore) Ryota Kanai (Araya, Inc., Japan) Dae-Shik Kim (KAIST, Korea) Yutaka Komura (Kyoto University, Japan) Hakwan Lau (UCLA, USA, University of Hong Kong, HK) Ying-Tung Lin (National Yang-Ming University, Taiwan) Aleksandra Mroczko-W?sowicz (National Yang-Ming University, Taiwan) Masafumi Oizumi (Araya, Inc. Japan) Jun Tani (KAIST, Korea, Okinawa Institute of Science and Technology, Japan) Naotsugu Tsuchiya (Monash University, Australia) Jennifer Windt (Monash University, Australia) Karen Yan (National Yang-Ming University, Taiwan) Masatoshi Yoshida (National Institute of Physiology, Japan) *If you are interested in contributing, we welcome submissions of conceptual/theoretical and empirical work from a wide range of disciplines (**call for abstracts* *). If you are unfortunately unable to attend the meeting, please **sign up* * and stay in the loop!* Best regards, Ryota Kanai, PhD and Prof. Allen Y. Houng on behalf of organising members -------------- next part -------------- An HTML attachment was scrubbed... URL: From Chabane.Djeraba at univ-lille1.fr Mon Jun 19 19:42:58 2017 From: Chabane.Djeraba at univ-lille1.fr (Chabane Djeraba) Date: Tue, 20 Jun 2017 01:42:58 +0200 Subject: Connectionists: Bio / Neuroscience Pattern Recognition - Pattern Recognition Journal - CFP Message-ID: <26bf-59486180-b-29cbfa40@157358693> Bio / Neuroscience Pattern Recognition Aims and scope: The general question addressed by the special issue is the latest research results obtained through the interaction of bio / neuroscience and pattern recognition fields benefitting both research areas. The fundamental point of the special issue is to study and investigate how bio / neuroscience inspired systems, including hardware and software, deal with problems directly related to pattern recognition (e.g., deep learning, representation learning, transfer learning, multi-task learning, and unsupervised learning, spike neural network). We seek to include in the special issue recent successful studies on pattern recognition incorporating ideas and paradigms from the field of neuroscience. We also seek contributions from where neuroscience-inspired algorithms for pattern recognition still fall behind the state-of-the-art in terms of speed and accuracy. We also cover areas where deeper connections are likely to be fruitful. For example, we would like to highlight how neuroscience driven simulations (either hardware or software based) suggest new directions, which offer real advances for pattern recognition. Note that we are not interested in papers that focus on the details of such hardware or software, but on how they simulate pattern recognition, based on biological and neuro-scientific principles. Topics and guidelines: The submission of papers making fundamental or practical contributions to the following topics is encouraged, but not necessarily limited to these topics: ? deeper connections : between bio/neuroscience and pattern recognition ? latest research results ? new bio/neuroscience paradigms ? Technical issues: representation learning, deep learning, transfer learning, multi-task learning unsupervised learning, spike neural network ? fundamental issues The special issue is an open call inviting papers from anybody working on bio/neuroscience inspired pattern recognition methods with particular stress on significant advances. All papers will undergo the same rigorous Pattern Recognition revision process. Please refer to the guidelines for authors of PR website for detailed instructions on paper format http://www.journals.elsevier.com/pattern-recognition/. Important dates: Submission deadline December 31, 2017 Final acceptance deadline September 30, 2018 Submission: The authors are invited to submit their manuscripts via Elsevier Editorial System (EES) - https://ees.elsevier.com/pr/. All papers should be submitted before the submission deadline. Authors select the correct article type when they submit their articles in EES. If authors select the wrong article type their paper may end up publishing in a regular issue and not the special issue. When submitting their papers, authors must select VSI:Bio/Neuro PR as the article type. Guest editors: Chaabane Djeraba, Professor, University of Lille, France, chabane.djeraba at univ-lille1.fr Zhongfei Zhang, Professor, State University of New York at Binghamton, USA, zhongfei at cs.binghamton.edu Farzin Deravi, Reader, University of Kent, UK, F.Deravi at kent.ac.uk From juergen at idsia.ch Tue Jun 20 03:14:07 2017 From: juergen at idsia.ch (Juergen Schmidhuber) Date: Tue, 20 Jun 2017 09:14:07 +0200 Subject: Connectionists: Update: Deep Learning Jobs for PostDocs & PhD Students at the Swiss AI Lab, IDSIA Message-ID: <74D7495B-FA5A-4DAE-B1DF-F058AAEA06E1@idsia.ch> Please follow instructions under http://people.idsia.ch/~juergen/jobs2017.html J?rgen Schmidhuber http://people.idsia.ch/~juergen/whatsnew.html . From iceis at insticc.info Tue Jun 20 09:29:12 2017 From: iceis at insticc.info (iceis at insticc.info) Date: 20 Jun 2017 14:29:12 +0100 Subject: Connectionists: CFP ICEIS 2018 - 20th Int.l Conf. on Enterprise Information Systems (Funchal, Madeira/Portugal) Message-ID: <20170620132915.101215.928BF905F22EA6B3@insticc.info> SUBMISSION DEADLINE 20th International Conference on Enterprise Information Systems Submission Deadline: October 18, 2017 http://www.iceis.org/ March 21 - 24, 2018 Funchal, Madeira, Portugal. ICEIS is organized in 6 major tracks: - Databases and Information Systems Integration - Artificial Intelligence and Decision Support Systems - Information Systems Analysis and Specification - Software Agents and Internet Computing - Human-Computer Interaction - Enterprise Architecture In Cooperation with SWIM, AAAI. With the presence of internationally distinguished keynote speakers: Alexander Brodsky, George Mason University, United States A short list of presented papers will be selected so that revised and extended versions of these papers will be published by Springer. All papers presented at the congress venue will also be available at the SCITEPRESS Digital Library (http://www.scitepress.org/DigitalLibrary/). Should you have any question please don?t hesitate contacting me. Kind regards, ICEIS Secretariat Address: Av. D. Manuel I, 27A, 2? esq. 2910-595 Setubal, Portugal Tel: +351 265 520 184 Fax: +351 265 520 186 Web: http://www.iceis.org/ e-mail: iceis.secretariat at insticc.org From timothee.masquelier at alum.mit.edu Tue Jun 20 09:06:26 2017 From: timothee.masquelier at alum.mit.edu (=?UTF-8?Q?Timoth=C3=A9e_Masquelier?=) Date: Tue, 20 Jun 2017 15:06:26 +0200 Subject: Connectionists: PhD at CerCo, Toulouse, France Message-ID: Beating Roger Federer: *Modeling visual learning and expertise through a bioinspired neural network embedded in an electronic device* *Goal: *PhD grant. *When:* starting from September 2017 (date may be flexible to some extent) *Topic:* How do expert tennis players, like Roger Federer for example, predict if a ball will bounce in or out the field to decide if it should be played or not? After thousands of trajectory presentations, best champions have developed extraordinary skills in such a task, but little is known on how the visual system turns selective to spatiotemporal properties of the visual stimulus (e.g., 3D position, velocity and acceleration) and learns how to make an efficient use of it. The goal of the project is to build an embedded system ? based on FPGA circuits and ARM processor ? an artificial neural network which would replicate ? and perhaps beat ? the visual and anticipatory performances of these expert players. To achieve this goal successfully, we will develop a bio-inspired neural network, based on some of the key properties of human vision: the Smart NeuroCam (GST company) will be used to reproduce the retina functioning. It triggers its message under the form of spikes, in an asynchronous way (without any concept of frame per second), responding to spatial or temporal changes in the pattern of illumination. Several kinds of pre-processing filters can be implemented in VHDL language directly in the FPGA circuits, and the output is then sent to a neural network. The artificial network will learn to use this message, applying a simple learning rule, the Spike-Timing-Dependent Plasticity (STDP). This rule allows each neuron to become selective to a particular property of the stimulus, completely autonomously and with no supervision. Several layers will be built to allow perceiving more and more complex properties of the visual scene. Once the network will be established, its performances will be assessed in different conditions of learning and compared to those of the best tennis players. *The project is funded by a French National Research Agency (ANR)*, involving two sites and several researchers: - Robin Baur?s, Benoit Cottereau, Timoth?e Masquelier and Simon Thorpe, CerCo, Toulouse. - Michel Paindavoine, GST, Dijon. *Where: *The candidate will be based at CerCo, Toulouse (France), and will make the interface with the two sites, with regular trips. The computational neuroscience part will be done at Toulouse, and electronic part at Dijon. *Tasks:* - Matlab (or Python) based simulations of numerical filters. These filters will be applied to the image processing from which spikes are generated and then sent to feed the neural network and STDP learning mechanism. - VHDL coding to implement these numerical filters into the FPGA circuits of the cameras - C/C++ coding of the neural network and STDP mechanism that should work on an embedded ARM processor system - Experimental tests that will allow evaluating the performance of the whole system, from spikes generation to visual properties learning of the embedded system, to predict tennis ball?s trajectories *Required skills: * - Strong knowledge on electronic, and openness to computational neurosciences - Knowledge in signal-image processing, and artificial neural network - Interest for multidisciplinary research - Ability to turn smoothly autonomous, once the road has been set - Ability to be at the interface of two scientific fields and two working areas - Programming with Matlab and/or Python for simulating the neural network - Programming in VHDL language for FPGA circuits - Programming in C/C++ language for porting the algorithms on ARM microprocessors - French is not a requirement if fluent in English, but willingness to learn would be beneficial *Citizenship Eligibility:* We discourage Iranian student to apply, since most likely the CNRS will not accept them for security/defense reasons, unfortunately. *Relevant publications for the project:* - Masquelier, T., Guyonneau, R. & Thorpe S.J. (2009). Competitive STDP-Based Spike Pattern Learning. Neural Comput, 21(5),1259-1276. - Masquelier, T. & Thorpe, S.J. (2007). Unsupervised learning of visual features through spike timing dependent plasticity. PLoS Comput Biol, 3(2):e31. - Cottereau, B.R., McKee, S.P. & Norcia, A.M. (2014). Dynamics and cortical distribution of neural responses to 2D and 3D motion in human. Journal of Neurophysiology 111(3), 533-543. - SmartNeuroCam de GST : https://gsensing.eu/fr/category/sections/products *Contact:* *Robin Baur?s, PhD* Associate Professor CerCo, Universit? Toulouse 3, CNRS CHU Purpan, Pavillon Baudot 31059 Toulouse Cedex 9 ? France Office phone: 0033 (0)5 62 74 62 15 Email : robin.baures at cnrs.fr *Pr Michel Paindavoine* GlobalSensing Technologies 14, rue Pierre de Coubertin 21000 Dijon email : michel.paindavoine at gsensing.eu -- Timoth?e Masquelier - timothee.masquelier at cnrs.fr - http://cerco.ups-tlse.fr/~masquelier/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From complexis at insticc.info Tue Jun 20 09:29:01 2017 From: complexis at insticc.info (complexis at insticc.info) Date: 20 Jun 2017 14:29:01 +0100 Subject: Connectionists: CFP COMPLEXIS 2018 - 3rd Int.l Conf. on Complexity, Future Information Systems and Risk (Funchal, Madeira/Portugal) Message-ID: <20170620132904.101215.CFA9FFBF37ED1BE9@insticc.info> SUBMISSION DEADLINE 3rd International Conference on Complexity, Future Information Systems and Risk Submission Deadline: October 16, 2017 http://www.complexis.org/ March 20 - 21, 2018 Funchal, Madeira, Portugal. COMPLEXIS is organized in 7 major tracks: - Complexity in Informatics, Automation and Networking - Complexity in Biology and Biomedical Engineering - Complexity in Social Sciences - Complexity in Computational Intelligence and Future Information Systems - Complexity in EDA, Embedded Systems, and Computer Architecture - Network Complexity - Complexity in Risk and Predictive Modeling In Cooperation with IFSR, EATCS. With the presence of internationally distinguished keynote speakers: A short list of presented papers will be selected so that revised and extended versions of these papers will be published by Springer. All papers presented at the congress venue will also be available at the SCITEPRESS Digital Library (http://www.scitepress.org/DigitalLibrary/). Should you have any question please don?t hesitate contacting me. Kind regards, COMPLEXIS Secretariat Address: Av. D. Manuel I, 27A, 2? esq. 2910-595 Setubal, Portugal Tel: +351 265 520 184 Fax: +351 265 520 186 Web: http://www.complexis.org/ e-mail: complexis.secretariat at insticc.org From anne.karina.feldmeth at bcf.uni-freiburg.de Tue Jun 20 10:55:50 2017 From: anne.karina.feldmeth at bcf.uni-freiburg.de (Anne Karina Feldmeth) Date: Tue, 20 Jun 2017 16:55:50 +0200 Subject: Connectionists: EXTENDED DEADLINE: BCF/NWG Course: Analysis and Models in Neurophysiology Message-ID: <4d94b465-469d-7763-5abf-52a06f1f3d24@bcf.uni-freiburg.de> BCF/NWG Course "Analysis and Models in Neurophysiology" Sunday, October 8 - Friday, October 13, 2017 Bernstein Center Freiburg, Hansastra?e 9a, 79104 Freiburg, Germany Aim of the course: The course is intended to provide advanced Diploma/Masters and PhD students, as well as young researchers from the neurosciences with approaches for the analysis of electrophysiological data and the theoretical concepts behind them. The course includes various topics such as: * Neuron Models and Point Processes (Prof. Stefan Rotter) * Local field potentials (Prof. Ulrich Egert) * Functional Imaging (Dr. Pierre LeVan) * Neural Decoding (Prof. Carsten Mehring) The course will consist of lectures in the morning and matching exercises using Matlab and Mathematica in the afternoon. The participants should have a basic understanding of scientific programming. This course is designated especially for advanced diploma/master students and PhD students (preferentially in their first year). Application: Please apply by sending one single pdf document containing your CV and a meaningful letter of motivation to nwg-course at bcf.uni-freiburg.de . The letter of motivation should refer to the following points: * Reasons for wanting to take this course * Background in mathematics * Background in scientific programming * Experience in using Matlab and Mathematica * Background in neuroscience The course is limited to 20 participants. Course fees: NWG members - free, others - 125? *Extended application deadline*: _*June 30*_, 2017 More information: http://www.bcf.uni-freiburg.de/events/conferences-workshops/20171008-nwgcourse -- Anne Karina Feldmeth Teaching & Training Coordinator Bernstein Center Freiburg University of Freiburg Hansastr. 9a D - 79104 Freiburg Germany Phone: +49 (0) 761 203-9575 Fax: +49 (0) 761 203-9559 Mail: anne.karina.feldmeth at bcf.uni-freiburg.de -------------- next part -------------- An HTML attachment was scrubbed... URL: From congress at incf.org Tue Jun 20 06:26:54 2017 From: congress at incf.org (congress) Date: Tue, 20 Jun 2017 12:26:54 +0200 Subject: Connectionists: Early Bird registration reminder for Neuroinformatics 2017 in Kuala Lumpur Message-ID: Dear all, Make sure to register for Neuroinformatics 2017 in Kuala Lumpur, Malaysia on August 20-21, before July 2nd to enjot the early bird registration fees! The annual INCF Congress provides a meeting place for researchers in all fields related to neuroinformatics. Join us for keynotes from top neuroscientists, community sessions and poster- and demo sessions. This meeting is especially useful for anyone who is developing neuroscience tools and methods, working on better ways to handle neuroscience data, and looking for cross-disciplinary collaborations. *http://neuroinformatics2017.org/* Please spread this information to anyone you feel might be interested in attending! *The International Neuroinformatics Coordinating Facility (INCF) is an international non-profit organization devoted to advancing the field of neuroinformatics and global collaborative brain research. Learn more about INCF www.incf.org * *We look forward to seeing you in Kuala Lumpur!* [image: Inline image 1] Best Regards INCF Secretariat -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: NI2017-flyer-3rd version.jpg Type: image/jpeg Size: 1037748 bytes Desc: not available URL: From huajin.tang at gmail.com Tue Jun 20 23:47:36 2017 From: huajin.tang at gmail.com (Huajin Tang) Date: Wed, 21 Jun 2017 11:47:36 +0800 Subject: Connectionists: CFP: The 8th IEEE International Conference on Cybernetics and Intelligent Systems (CIS), and Robotics, Automation and Mechatronics (RAM) Message-ID: The 8th IEEE International Conference on Cybernetics and Intelligent Systems (CIS), and Robotics, Automation and Mechatronics (RAM) 19-21 November, 2017, Ningbo, China www.cis-ram.org It is our great honor and pleasure to have the 8th IEEE International Conference on Cybernetics and Intelligent Systems (CIS) and the 8th IEEE International Conference on Robotics, Automation and Mechatronics (RAM), which will be held from 19 to 21 November, 2017, in Pan Pacific Hotel, Ningbo, China. *About CIS-RAM : *The IEEE International Conferences on CIS & RAM have always been held together, to exploit the synergistic relationship between both areas. CIS-RAM was first held in Singapore in 2004, followed by Thailand in 2006, Chengdu (China) in 2008, Singapore in 2010, Qingdao (China) in 2011, Manila (Philippines) in 2013, and Angkor Wat (Cambodia) in 2015. CIS-RAM 2017 will be held in Ningbo which is located in the middle part of China's mainland coastline and in the south of Yangtze River delta. Ningbo is recognized as one of the China?s most beautiful harbor and multicultural cities. *Programs and Topics on CIS: *Cybernetics, Automation and Control; Cooperative Systems and Control; Multi-Agent Systems; Discrete Event Systems; Supervisory Control; Hybrid Systems; Networked Dynamical Systems; Computational Intelligence; Swarm Intelligence; Soft Computing; Fuzzy Systems; Neural Networks; Genetic Algorithms; Evolutionary Computation; Image Processing; Systems Modeling & Control; Smart Sensor Networks; Environmental Systems; Bio-inspired Systems; Cyber-physical Systems; Human/Machine Systems; Transportation Systems; Manufacturing Systems; Decision Support Systems; System of Systems; Big Data; Internet of Things; Energy Efficiency. *Programs and Topics on RAM: *Robotics and Automation in Unstructured Environment; Personal and Service Robotics; Underwater Robotics; Medical Robots and Systems; Social Robotics; Industrial Robotics; Manufacturing Automation; Servo Motors and Actuators; Sensor Design, Integration, and Fusion; Robot Vision, Human-Robot Interfaces; Haptics, Tele-robotics, and Network Robotics; Micro/Nano Robotics; Distributed, Cellular, and Multi-robot Systems; Biologically-Inspired Robots and Systems; Intelligent Transportation Systems; Modeling, Planning and Control; Kinematics, Mechanics, and Mechanism Design; Legged Robots; Wheeled Mobile Robots; Aerial Robotics; Robot Dynamics; Motion Control; Force/Impedance Control; Robot Programming; Methodologies for Robotics and Automation; Virtual Reality; Localization and Tracking. *Best Paper Awards: *The conference will provide two awards: best conference paper award and best student paper. *Paper Submission:* Papers must be written in English and should describe original work. The length of the paper is limited to a maximum of 6 pages (A4 size, single spacing, Times Roman of font size 10, double columns format, in pdf form), including figures, tables and references. Papers will be published in the conference proceedings only if at least one of the authors is officially registered. All the papers in the conference proceedings will be indexed in the *IEEE Library, ISI Proceedings, and EI Compendex database*. *Important Dates:* Paper Submission Deadline: 30 Jun 2017 Notification of Acceptance: 15 Aug 2017 Final Camera-Ready Manuscript: 15 Sep 2017 Registration: 15 Sep 2017 -------------- next part -------------- An HTML attachment was scrubbed... URL: From dominik.endres at uni-marburg.de Wed Jun 21 12:20:19 2017 From: dominik.endres at uni-marburg.de (Dominik Endres) Date: Wed, 21 Jun 2017 18:20:19 +0200 Subject: Connectionists: 14 PhD positions available! Message-ID: <2739897.yte1GiUAiL@pc04174> The Research Training Group (RTG) 2271 ?Expectation Maintenance vs. Change in the Context of Expectation Violations: Connecting Different Approaches? is funded by the German Research Foundation (Deutsche Forschungsgemeinschaft, DFG). The overarching goal of this RTG is to investigate why and when organisms (humans, animals) change or maintain generalized expectations in the face of disconfirming evidence. Fourteen doctoral students will be funded in each cohort (3 years per cohort). Vacant positions are advertised here: http://www.uni-marburg.de/fb04/forschung/phdprogram/index_html The dissertation projects in this RTG cover a range of topics related to expectation maintenance vs. expectation change in various contexts, including mathematical psychology, cognitive modeling, clinical psychology, educational psychology, social psychology, or biological psychology. Thirteen researchers (?Principal Investigators?) from the Department of Psychology at Philipps University Marburg are involved in the RTG. You can find more information about these researchers, the research program and the qualification program on the above website. APPLICATION DEADLINE: June 30th 2017 -- Prof. Dr. Dominik Endres AE Theoretische Neurowissenschaft Allgemeine und Biologische Psychologie FB Psychologie, Gutenbergstr 18, 35032 Marburg, Germany Tel. +49-(0)6421-28-23818 From christian at brackmann.com.br Wed Jun 21 21:17:26 2017 From: christian at brackmann.com.br (Christian Brackmann) Date: Thu, 22 Jun 2017 01:17:26 +0000 Subject: Connectionists: Last Call for Papers - LAWCN 2017 Message-ID: --------------------------------------------------------------------------------- CALL FOR PAPERS Paper Submission Deadline: June 30, 2017 LATIN AMERICAN WORKSHOP ON COMPUTATIONAL NEUROSCIENCE 2017 November 22-24, 2017 Federal University of Rio Grande do Sul (UFRGS), Porto Alegre, Brazil. http://www.inf.ufrgs.br/lawcn/ Contact: lawcn2017 at easychair.org ------------------------------------------------------------------------------- Computational neuroscience is the study of brain function regarding the information processing properties of the structures that make up the nervous system. It is an interdisciplinary science that links the diverse fields of neuroscience, as cognitive science, medicine, psychology, electrical engineering, biomedical engineering, mechanical engineering, computer science, mathematics, physics and even philosophy. The Federal University of Rio Grande do Sul (UFRGS), located in Porto Alegre, in the south of Brazil, has promoted a more restricted version of this Workshop in November 2012. Since then, participants and investigators in the interdisciplinary fields related to Computational Neuroscience are claiming to resume the realization of this event. In this sense, with a broader scope aiming to encourage young researchers and graduate master and doctorate students in all Latin America, this edition will have three main topics: a) neuroscience, b) neuroengineering and c) artificial intelligence and related techniques. The Workshop will consist mainly of the following activities: 1. presentation of up to 8 key renowned international and national researchers; 2. presentation of up to 50 oral presentations; 3. presentation of poster presentations; 4. presentation of practical applications in neuroscience, both from University and from companies active in the field; and 5. practical demonstration of the A2200 Enigma machine, which belongs to the Informatics Institute, as a special tribute to the 105th Birthday Anniversary of Alan Turing, considered one of the founding fathers of Computer Science. All participants who investigate and contribute to the understanding of the properties of the brain, such as Medicine, Physics, Computer Science, Engineering, Psychology, Philosophy and others are welcomed. Issues related to the support of Communication and Information Technology and High-Performance Computing in Neuroscience will receive particular attention. UFRGS is happy to welcome LATIN AMERICAN WORKSHOP ON COMPUTATIONAL NEUROSCIENCE (LAWCN) in Porto Alegre, Brazil. GENERAL INFORMATION IMPORTANT DATES * June 30, 2017: Submission deadline for papers * August 20, 2017: Notification of acceptance * September 10, 2017: Camera-ready papers and copyrights signatures * November 13, 2017: Digital Posters due, which will be digitally presented * November 22-24, 2017: Workshop, UFRGS - Porto Alegre, Brazil. SCOPE LAWCN 2017 covers all aspects of Computational Neuroscience. Although the interdisciplinary nature of the Conference and the stimulus to work at intersections and the frontiers of different disciplines, for the sake of clarifying the scope of the Workshop, topics will be presented on the three main axes. The interest topics include (but are not limited to): a) Neuroscience: * Sensory processing * Network dynamics * Reinforcement learning * Motivation and decision making * Statistical approaches in neuroscience * Systems Neuroscience * Learning and memory Attention * Arousal of Sensory-Motor Integration Learning in networks * Ethical and philosophical issues related to Neuroscience * Educational issues b) Neuroengineering: * Large-scale recordings * Neural signal processing * Neuromodulation * Neuroprosthetics * Robotics * Biomedical devices development * Humanoid robots * Robots for Elderly People * Sensing in Robotics * Fusion of Sensors * Hardware implementations in Neuroscience * Software implementations in Neuroscience * Brain-Computer Interfaces: design and applications * Ethical and philosophical issues related to Neuro-engineering * Educational issues c) Artificial Intelligence and related techniques: * Artificial Intelligence Techniques in Neuroscience * Bioinformatics * Clustering and Applications * Computer Vision, Cognitive and Humanoid Vision * Databases, Data Mining, Intelligent Data Analysis, Knowledge-based Systems and Linguistic Tools * Data Visualization and Applications * Deep Learning * Statistical Pattern Recognition/Document Processing and Recognition * Fuzzy and Hybrid Techniques * Geometric Algebra Application in Perception-Action * High-Performance Computing for Pattern Recognition * Image Coding, Processing, and Analysis * Kernel Machines * Mathematical Theory of Computational Neuroscience * Neural Networks * Parallel and Distributed Applications for Computational Neuroscience * Robotics and Humanoids * Shape and Texture Analysis * Signal Processing and Analysis * Spatio-temporal Analysis * Ethical and philosophical issues related to Artificial Intelligence * Educational issues KEYNOTE SPEAKERS LAWCN Organizing Committee is proud to announce the confirmation of the following invited talks: Dr. Francisco Sotres Bay?n, Professor of Neurosciences at the National Autonomous University of M?xico(UNAM ), M?xico Title of the talk : Understanding the Brain mechanisms of learned and innate motivational conflicts Dr. Laurence Devillers,Professor of Computer Science at Paris-Sorbonne University,Paris,France Title of the talk : Affective and Social Robotics : engagement,evaluation and ethics Dr. Sen Cheng, Professor of Computational Neuroscience at the Ruhr University Bochum(RUB),Bochum, Germany Title of the talk : Intrinsic Sequences in the hippocampus for spatial navigation and memory storage Dr. Vinicius Rosa Cota, Professor of Electrical Engineering at the Federal University of S?o Jo?o del-Rei (UFSJ), S?o Jo?o del-Rei, Brazil Title of the talk : Toward a neural prosthesis to the epileptic brain by tackling neural hyper synchronism The confirmation of other invited speakers will be done soon. REGISTRATION FEES - Until 30/06/2017 Undergraduate Student: R$ 100,00 Graduate Student: R$ 150,00 Professionals: R$ 200,00 - Until 13/10/2017 Undergraduate Student: R$ 125,00 Graduate Student: R$ 175,00 Professionals: R$ 225,00 - After 14/10/2017 Undergraduate Student:R$ 150,00 Graduate Student:R$ 200,00 Professionals:R$ 250,00 Registrations can be done at: http://www2.fundacaomedica.hcpa.ufrgs.br/siafnet/hinscricoesemcursosv3.aspx?1598,I+LAWCN+-+LATIN+AMERICAN+WORKSHOP+ON+COM PAPER SUBMISSION AND PUBLICATIONS - Papers should be submitted exclusively through EasyChair website: https://easychair.org/conferences/?conf=lawcn2017 - Papers will be evaluated based on their originality, quality, and significance of the theoretical and practical contribution to Computational Neuroscience; - Only papers presented at the conference will be included in the proceedings; - All papers (Short and Full) and Digital Posters must be in PDF format and include abstract, figures, tables and references in the minimum/maximum amount of pages (according to the category desired); - Papers can be submitted in four categories (see image bellow): - Short paper not related directly to Computer Science: - Length: between 3 and 8 pages - Languages: English, Spanish and Portuguese - Short paper related to Computer Science: - Length: between 6 and 8 pages - Language: English - Full paper not related directly to Computer Science: - Length: between 10 and 15 pages - Languages: English, Spanish and Portuguese - Full paper related to Computer Science: - Length: between 10 and 15 pages - Language: English - Papers that are not related directly to Computer Science will be published in the Latin-American Workshop on Computational Neuroscience Proceedings and can be submitted in English, Portuguese or Spanish. Papers that are related to Computer Science will be published in Springer-Verlag Communications in Computer and Information Science (CCIS) Proceedings (ISSN 1865-0929), and the best papers will be indicated to be published in Education, Technology and Culture (ISSN 1808-0588) or IEEE-RITA (ISSN 1932-8540). - Papers (Short and Full) can be selected by the Program Committee for Oral or Poster presentations, regardless its length and category. - At least one author of each accepted paper for oral or poster presentation must register at the conference. If more than one paper per author is accepted, there is an extra registration fee; - Since LAWCN has goals to foster and encourage investigation careers of young and talented researchers, the Program Committee will select the best papers to be published in indexed journals. Contacts with editors have already been made and will continue until the realization of the Workshop to stimulate Science divulgation. - One of the authors must sign and attach a disclosure form if the paper is accepted; - More details about the papers submission process can be found on the Congress web page. LAWCN AWARDS The Program Committee will select the three best oral presentations (one for each main topic of the event) during the workshop. One of the authors of these papers will be entitled to a prize that will consist of amounts up to USD 300 for registration in scientific events in areas related to the Workshop and which occur in 2018, as well as free registration for the next edition of LAWCN. These awards will depend on the amount obtained by the registrations. ORGANIZERS General Chair: Prof. Dr. Dante Augusto Couto Barone, Informatics Institute, Federal University of Rio Grande do Sul (UFRGS), Porto Alegre, Brazil Deputy General Chair: Prof. Dr. Marino Bianchin, Medicine Faculty, Federal University of Rio Grande do Sul (UFRGS), Porto Alegre, Brazil Organizing Committee: Christian Puhlmann Brackmann IFFAR, Santa Maria, RS, Brazil Dante Augusto Couto Barone UFRGS, Porto Alegre, RS, Brazil Eduardo Oliveira Teles IFBA, Cama?ari, BA, Brazil Heron Pereira UFRGS, Porto Alegre, RS, Brazil Jaime Andres Riascos Salas UFRGS, Porto Alegre, RS, Brazil Marino Muxfeldt Bianchin UFRGS, Porto Alegre, RS, Brazil Paulo Rog?rio de Almeida Ribeiro UFMA, S?o Lu?s, MA, Brazil Pedro Schestatsky UFRGS, Porto Alegre, RS, Brazil Rodrigo Alejandro Sierra UFRGS, Porto Alegre, RS, Brazil Program Committee: Alexandre C?sar Muniz de Oliveira, Informatics Department, Federal University of Maranh?o (UFMA), S?o Lu?s, Brazil Ant?nio Carlos Roque, Physics and Mathematics Department, S?o Paulo University (USP), Ribeir?o Preto, Brazil Areolino de Almeida Neto, Informatics Department, Federal University of Maranh?o (UFMA), S?o Lu?s, Brazil Christian Haag Kristensen, Psychology Faculty, Pontifical Catholic University of Rio Grande do Sul (PUC-RS), Porto Alegre, Brazil Dante Augusto Couto Barone, Informatics Institute, Federal University of Rio Grande do Sul (UFRGS), Porto Alegre, Brazil Diana Adamatti, Center of Computational Sciences, Federal University of Rio Grande (FURG), Rio Grande, Brazil Edson Prestes e Silva Junior, Informatics Institute, Federal University of Rio Grande do Sul (UFRGS), Porto Alegre, Brazil Eduardo L?pez-Larraz, Institute of Medical Psychology and Behavioural Neurobiology, University of T?bingen, T?bingen, Germany Eduardo Vicentini de Medeiros, Experimental Philosophy and Cognitive Studies Laboratory, Vale do Rio dos Sinos University (UNISINOS), Porto Alegre, Brazil Fabr?cio Lima Brasil, Edmond and Lily Safra International Institute of Neurosciences, Santos Dumont Institute (ELS IINN), Natal, Rio Grande do Norte, Brazil Felipe Meneguzzi, Informatics Faculty, Pontifical Catholic University of Rio Grande do Sul (PUC-RS), Porto Alegre, Brazil Francisco Sotres Bay?n, Celular Physiology Institute, National Autonomous University of M?xico (UNAM), M?xico Frederico Augusto Casarsa de Azevedo, Max Planck Institute for Biological Cybernetics, T?bingen, Germany Gustavo Gauer, Psychology Institute, Federal University of Rio Grande do Sul (UFRGS), Porto Alegre, Brazil Hougelle Simpl?cio Gomes Pereira, Edmond and Lily Safra International Institute of Neurosciences, Santos Dumont Institute (ELS IINN), Natal, Rio Grande do Norte, Brazil J?s de Jesus Fiais Cerqueira, Electrical Engineer Department, Federal University of Bahia (UFBA), Salvador, Brazil Jim T?rresen, Department of Informatics, University of Oslo (UiO), Oslo, Norway Juan Verdejo-Rom?n, Brain and Behavior Research Center, University of Granada (UGR), Granada, Spain Luciana Porcher Nedel, Informatics Institute, Federal University of Rio Grande do Sul (UFRGS), Porto Alegre, Brazil Luis Fernando Cardenas Parra, Psychology Department, Los Andes University, Bogot?, Colombia Marco Rocha Curado, University Medical Center Freiburg, Freiburg, Germany Marcos Yuzuru de Oliveira Camada, Electrical Engineering Graduate Course, Federal University of Bahia (UFBA), Salvador, Brazil Marino Muxfeldt Bianchin, Medicine Faculty, Federal University of Rio Grande do Sul (UFRGS), Porto Alegre, Brazil Miguel Perez Garcia, Mind, Brain and Behavior Research Center, University of Granada (UGR), Granada, Spain Olavo Amaral, Biochemical Medicine Institute, Federal University of Rio de Janeiro (UFRJ), Rio de Janeiro, Brazil Patricio Donnelly Kehoe, Scientific and Technological Center of Rosario, National University of Rosario (UNR),Rosario, Argentina Paulo Rog?rio de Almeida Ribeiro, Computer Engineering Department, Federal University of Maranh?o (UFMA), S?o Lu?s, Brazil Pedro Schestatsky, Medicine Faculty, Federal University of Rio Grande do Sul (UFRGS), Porto Alegre, Brazil Reinhold Scherer, Institute of Neural Engineering, Graz University of Technology, Graz, Austria Renan Cipriano Moioli, Edmond and Lily Safra International Institute of Neurosciences, Santos Dumont Institute (ELS IINN), Natal, Rio Grande do Norte, Brazil Risto Ilmoniemi, Department of Neuroscience and Biomedical Engineering,Aalto University, Helsinki,Finland Rodrigo Alejandro Sierra, Biosciences Institute, Federal University of Rio Grande do Sul (UFRGS), Porto Alegre, Brazil Rukiye Uzun, Department of Electronics and Electrical Engineering,Bulent Ecevit University (BEU), Zonguldak, Turkey Sen Cheng, Computational Neuroscience Institute, Ruhr University Bochum (RUB), Bochum, Germany Silvio Cesar Cazella, Department of Exact and Applied Social Sciences,Federal University of Health Sciences of Porto Alegre (UFCSPA), Porto Alegre, RS, Brazil Victor Christian Paredes Cauna, Texas A&M University, Bryan/College Station, USA Vinicius Rosa Cota, Electrical Engineering Department, Federal University of S?o Jo?o del-Rei (UFSJ), S?o Jo?o del-Rei, Brazil -- *Christian Puhlmann Brackmann* Professor at Federal Institute of Education, Science and Technology Farroupilha (IFFAR) Doctoral Student / Computers in Education - Federal University of Rio Grande do Sul (UFRGS) http://lattes.cnpq.br/3440794204799048 christian at brackmann.com.br (Skype) cpbrackmann at inf.ufrgs.br ? ? +55 55 98100 1819 *??* *?Education is the most powerful weapon which you can use to change the world?* ?? Nelson Mandela -------------- next part -------------- An HTML attachment was scrubbed... URL: From veronica.bolon at udc.es Thu Jun 22 05:04:24 2017 From: veronica.bolon at udc.es (=?utf-8?Q?Ver=C3=B3nica_Bol=C3=B3n?=) Date: Thu, 22 Jun 2017 11:04:24 +0200 Subject: Connectionists: SPRINGER BOOK - CALL FOR CHAPTERS Message-ID: SPRINGER BOOK - CALL FOR CHAPTERS Editors: Ver?nica Bol?n-Canedo, Amparo Alonso Betanzos (University of A Coru?a, Spain) Title information Book title: Microarray Bioinformatics Series title: Methods in Molecular Biology http://www.springer.com/series/7651 Publisher: Springer Nature All chapters will appear in PubMed, ISI, Scopus and Medline. Important dates Chapter submission deadline: 1st March 2018 Estimated manuscript publication date: Summer 2018 Synopsis Over the last few decades, advances in molecular genetics technologies, such as DNA microarrays, have stimulated a new line of research in bioinformatics. DNA microarrays allow us to obtain a global view of the cell, where it is possible to measure the simultaneous expression of tens of thousands of genes. In particular, this type of data works by collecting information from tissue and cell samples regarding gene expression differences that could be useful for diagnosing disease or for distinguishing a specific tumor type. Microarray data has soon become very popular among bioinformatics researchers. In a microarray experiment, there are usually very few samples (often fewer than 100 samples), but the number of features in the raw data ranges up to 60000. This high dimensionality makes the analysis of microarray data very appealing for machine learning and statistical researchers. Moreover, the use of High Performance Computing has soon become very popular in the field. The book is intended for researchers and graduate students in Bioinformatics, with basic knowledge in Biology and Computer Science. Topic coverage Chapters must be original work not published or submitted for publication elsewhere. Revised and extended versions of published materials could be acceptable provided that they do not violate the copyright, the necessary credits are given and the required permissions granted. The list of book chapters that are still available includes but it is not limited to: Introduction to Bioinformatics Introduction to DNA microarrays Cluster analysis of microarray data Sequence alignment with microarray data Experimental design of microarrays Image processing and microarrays SNP microarrays Computer tools to analyze microarray data Chapters tend to average 15-20 typed pages but there is no limit at all on the length of individual chapters, nor any limitation on the number of figures. Word and Latex sources are accepted. If you feel that you can contribute with any of these chapters (or another one related to the topic) please email Editor Ver?nica Bol?n-Canedo (veronica.bolon at udc.es ) before 7th July, 2017. Ver?nica Bol?n Canedo, PhD Grupo LIDIA Departamento de Computaci?n Facultad de Inform?tica Universidade da Coru?a Campus de Elvi?a, s/n 15071 - A Coru?a, Spain Phone: +34 981 167150 Ext. 6007 Fax: +34 981 167160 e-mail: veronica.bolon at udc.es http://www.lidiagroup.org -------------- next part -------------- An HTML attachment was scrubbed... URL: From mathieu.daquin at insight-centre.org Thu Jun 22 05:26:06 2017 From: mathieu.daquin at insight-centre.org (Mathieu D'Aquin) Date: Thu, 22 Jun 2017 10:26:06 +0100 Subject: Connectionists: [CFP] Re-Coding Black Mirror workshop at ISWC 2017 - Vienna Message-ID: Call for papers Re-coding Black Mirror- https://kmitd.github.io/recoding-black-mirror/ Half day workshop at the 16th International Semantic Web Conference (ISWC 2017) 22 October 2017, Vienna Black Mirror is a British sci-fi series directed by Charlie Brooker portraying a dystopian future emanating from the wide use of digital advancements. Even though Black Mirror?s episodes do not entirely rely on the widespread availability of existing technology, some of the advancements presented are not from such a distant future. The ethical and social implications emerging from the increasing reliance on digital media -partly depicted in the series- has been a longstanding debate in critical studies underlying issues around privacy, social control, social and individual justice and other key values around Democracy such as freedom of speech. Computer science has picked up on such kind of issues focusing mainly on privacy offering technical solutions such as privacy by design and encryption amongst other tools. Re-coding Black Mirror is a half-day workshop which aims at promoting a dialogue between semantic web researchers and social scientists to address emerging social phenomena from different perspectives looking at case scenarios similar to the ones depicted in Black Mirror and explore potential semantic solutions to societal and ethical challenges. It will also be a forum for raising opportunities of networking with scholars from different fields to explore novel research problems that can be relevant to both communities. TOPICS Re-coding Black Mirror is essentially about creating connections between researchers building semantic web technologies and interested in their potential future implication on society, and researchers studying such impact of technology interested in the societal and ethical risks of such technological advances. We therefore expect two different types of works to be presented at the workshop, as described below. We provide brief summaries of examples of what those kinds of work could be. Possible submissions are of course not restricted to those examples, but works addressing those scenarios would be very much welcome too. * Works showing how semantic web technologies can enable scenarios like the ones depicted in Black Mirror: Here we are looking at how ongoing research in the semantic web community could lead to technological advances similar to what is presented in one specific episode (or a set of episodes if it is a recurring trend). For example: - How could advances in semantically combining results in natural language processing and social media analysis lead to the ability to create a bot mimicking the personality of a dead person from their online contributions? (S2E1) - How could semantic technologies be used to integrate information about another person from multiple online sources (digital footprinting), providing a mean for stalking or even blackmailing them? (S3E3) * Works showing how semantic web technologies can be used to prevent or reduce the risks depicted in Black Mirror: Many of the episodes in Black Mirror rely on a practice and use of technology which is either unexpected in itself, or which consequences are unexpected. Here we are looking at how semantic web technologies could reduce those risks. For example: - How could relying on semantic relations between people and information about their network/context prevents the appearance of extreme cases in user ratings? (S3E1) - How could semantic content and network analysis be used to reduce or counter the spread of hate on social media? (S3E6) SUBMISSION Please submit your contribution to the workshop by July 21st 2017 (23:59 Hawaii time) through the easychair system (see [1]). We accept three categories of submissions: full papers (max 12 pages) on research and applied technologies, short papers (max 6 pages) about visions and positions on forthcoming challenges and two page abstracts on the societal and ethical risks of the aforementioned technologies. All papers should be formatted using the Springer LNCS template and submitted as PDF (see [2]). We expect each paper to take as a starting point one futuristic scenario, either directly from Black Mirror or of a similar nature, as motivation for the work presented. ORGANISERS - PINELOPI TROULLINOU, Knowledge Media Institute, The Open University, UK - MATHIEU D'AQUIN, Insight Centre for Data Analytics, NUI Galway, Ireland - ILARIA TIDDI, Knowledge Media Institute, The Open University, UK PROGAMME COMMITTEE Kirstie Ball, School of Management, University of St. Andrews, United Kingdom Pompeu Casanovas, Institute of Law and Technology, Universidad Aut?noma de Barcelona, Spain Lina Dencik, School of Journalism, Media and Cultural Studies, Cardiff University, United Kingdom Sara Degli Esposti, Internet Interdisciplinary Institute, Universdad Oberta de Catalunya, Spain Stefan Dietze, L3S Research Cente, University of Leipzig, Germany Seda Guerses, COSIC Research Group, K.U. Leuven, Belgium Pascal Hitzler, Data Semantics Laboratory, Wright State University, U.S.A. Sabrina Kirrane, Institute for Information Business, Vienna University of Economics and Business, Austria Matthias Leese, Center for Security Studies, ETH Zurich, Switzerland Liisa M?kinen, Social and Public Policy, University of Helsinki, Finland Andrea Mannocci, Knowledge Media Institute, The Open University, United Kingdom Angelo Antonio Salatino, Knowledge Media Institute, The Open University, United Kingdom Rapha?l Troncy, Data Science Department, EURECOM, France Daniel Trottier, Department of Media and Communication, Erasmus University of Rotterdam, The Netherlands Dimitris Tsapogas, Department of Computer Science, University of Oxford, United Kingdom Nikolas Thomopoulos, Systems Management and Strategy, University of Greenwich, United Kingdom Lachlan Urquhart, Information Technology Law, Horizon Digital Economy Research Institute, United Kingdom Frank Van Harmelen, Network Institute, Vrije Universiteit Amsterdam, The Netherlands Pieter Verdegem, School of Media, Arts & Design, University of Westminster, United Kingdom Serena Villata, SPARKS-WIMMICS, INRIA, France [1] https://easychair.org/conferences/?conf=rbm2017 [2] https://www.springer.com/gp/computer-science/lncs/conference-proceedings-guidelines -------------- next part -------------- An HTML attachment was scrubbed... URL: From m.biehl at rug.nl Thu Jun 22 06:02:39 2017 From: m.biehl at rug.nl (Michael Biehl) Date: Thu, 22 Jun 2017 12:02:39 +0200 Subject: Connectionists: PhD position(s) available Message-ID: Apologies for cross-postings *Call for applications* Applications are invited for a *4-year PhD project* in the area of high angular resolution radio astronomy and image processing at the Kapteyn Astronomical Institute and the Johann Bernoulli Institute, University of Groningen. The student will work jointly with Assistant Prof. John McKean and Prof. Michiel Biehl on the analysis of high angular resolution radio imaging from the Low Frequency Array (LOFAR). The aim of the project is to develop sophisticated calibration and imaging methods that connect astronomy and complex data systems, as part of a project on advanced instrumentation and big data. The student will use novel *computing science methods including neural networks* *and other frameworks of machine learning* to analyse data from the LOFAR radio interferometer and will develop new techniques for the automated and robust analysis of the data taken with the International LOFAR Telescope, which includes combining signals from the stations both within the Netherlands and throughout Europe. This data stream will be used to investigate the low energy radiation from supermassive black holes at the highest possible angular resolution to investigate particle acceleration and energetics in the Universe?s largest natural particle accelerators. This will be done by combining the resolving power of LOFAR and the added magnification provided by gravitational lensing to study black hole physics at redshifts where the active phase from such objects is expected to peak, and have the largest influence on the build-up of the stellar host galaxy. The computing science will involve developing automated methods for identifying such objects from the LOFAR all-sky surveys data. As part of the project, the student will spend time at the Netherlands Institute for Radio Astronomy (ASTRON), which operates LOFAR and where Assistant Prof. McKean also holds a joint position. This project is one of eighteen possible projects that are available as part of the Data Science and System Complexity (DSSC) initiative, which currently has *10 PhD positions* co-funded through a Marie Sklodowska Curie COFUND action under the European Commission?s Horizon 2020 Work Programme. The DSSC aims to train highly skilled graduates who will use state-of-the-art data methodology to understand the behaviour of complex systems and who can handle data and complexity problems for society at large. For more information about the *DSSC Doctoral Programme* and the application procedure, please see, http://www.rug.nl/research/fse/themes/dssc/cofund/application/ The review of applications will begin on 15 July 2017, but interested candidates are advised to contact Assistant Prof. John McKean (mckean at astro.rug.nl) and Prof. Michael Biehl (m.biehl at rug.nl) to discuss their application by 8 July 2017. -- ---------------------------------------------------------- Prof. Dr. Michael Biehl Johann Bernoulli Institute for Mathematics and Computer Science P.O. Box 407, 9700 AK Groningen The Netherlands Tel. +31 50 363 3997 www.cs.rug.nl/~biehl m.biehl at rug.nl -------------- next part -------------- An HTML attachment was scrubbed... URL: From Chabane.Djeraba at univ-lille1.fr Thu Jun 22 19:10:23 2017 From: Chabane.Djeraba at univ-lille1.fr (Chabane Djeraba) Date: Fri, 23 Jun 2017 01:10:23 +0200 Subject: Connectionists: Bio / Neuroscience inspired pattern recognition (CFP) - PR Journal Message-ID: <5ee3-594c4e80-3-d6b4630@164745038> Bio / Neuroscience inspired pattern recognition Aims and scope: The general question addressed by the special issue is the latest research results obtained through the interaction of bio / neuroscience and pattern recognition fields benefitting both research areas. The fundamental point of the special issue is to study and investigate how bio / neuroscience inspired systems, including hardware and software, deal with problems directly related to pattern recognition (e.g., deep learning, representation learning, transfer learning, multi-task learning, and unsupervised learning, spike neural network). We seek to include in the special issue recent successful studies on pattern recognition incorporating ideas and paradigms from the field of neuroscience. We also seek contributions from where neuroscience-inspired algorithms for pattern recognition still fall behind the state-of-the-art in terms of speed and accuracy. We also cover areas where deeper connections are likely to be fruitful. For example, we would like to highlight how neuroscience driven simulations (either hardware or software based) suggest new directions, which offer real advances for pattern recognition. Note that we are not interested in papers that focus on the details of such hardware or software, but on how they simulate pattern recognition, based on biological and neuro-scientific principles. Topics and guidelines: The submission of papers making fundamental or practical contributions to the following topics is encouraged, but not necessarily limited to these topics: ? deeper connections : between bio/neuroscience and pattern recognition ? latest research results ? new bio/neuroscience paradigms ? Technical issues: representation learning, deep learning, transfer learning, multi-task learning unsupervised learning, spike neural network ? fundamental issues The special issue is an open call inviting papers from anybody working on bio/neuroscience inspired pattern recognition methods with particular stress on significant advances. All papers will undergo the same rigorous Pattern Recognition revision process. Please refer to the guidelines for authors of PR website for detailed instructions on paper format http://www.journals.elsevier.com/pattern-recognition/. Important dates: Submission deadline December 31, 2017 Final acceptance deadline September 30, 2018 Submission: The authors are invited to submit their manuscripts via Elsevier Editorial System (EES) - https://ees.elsevier.com/pr/. All papers should be submitted before the submission deadline. Authors select the correct article type when they submit their articles in EES. If authors select the wrong article type their paper may end up publishing in a regular issue and not the special issue. When submitting their papers, authors must select VSI:Bio/Neuro PR as the article type. Guest editors: Chaabane Djeraba, Professor, University of Lille, France, chabane.djeraba at univ-lille1.fr Zhongfei Zhang, Professor, State University of New York at Binghamton, USA, zhongfei at cs.binghamton.edu Farzin Deravi, Reader, University of Kent, UK, F.Deravi at kent.ac.uk From ncasan at sg.uji.es Fri Jun 23 05:09:11 2017 From: ncasan at sg.uji.es (=?UTF-8?B?R3VzdGF2byBBZG9sZm8gQ2FzYcOxIE7DusOxZXo=?=) Date: Fri, 23 Jun 2017 11:09:11 +0200 Subject: Connectionists: PhD Position in Humanoid Perception for Manipulation Message-ID: *Call for a PhD position in Humanoid Perception for Manipulation at Jaume I University (UJI), Spain* ----------------------- The UJI Robotic Intelligence Laboratory (RobInLab) (http://robinlab.uji.es) offers a PhD programme through the UJI School for Doctoral Studies. One fully funded 3-year sponsored PhD is available in Castellon starting October 1, 2017 on the topic of perception for robotic manipulation in real-world applications. Deadline is July 15, 2017. Research project ----------------------- The candidate will join the vibrant team of the project RoboPicker, led by Prof. Angel P. del Pobil, and will be funded through the Santiago Grisolia Program of Valencia Regional Government, that only grants these studentships to the best selected projects. The overall objective of the project is to attain a breakthough in full human-like robotic manipulation in real-world situations. For the project we take inspiration from the Amazon Robotic Challenge ( https://www.amazonrobotics.com/#/roboticschallenge (link is external) ), in which RobInLab participates in 2017. Reasons for the difficulty of this challenge arise from the fact that manipulation is conducted in a real environment, with several objects inside a restricted space, with poor visibility, accessibility, maneuverability and manipulability. Also, the objects involved are ordinary items of disparate forms and sizes. In this context, the successful candidate will be expected to pursue his/her own research goals, according to his/her background and interests, among the different topics involved in the project, namely: object recognition, pose recognition, vision for grasp planning, sensor-based compliant manipulation, multimodal task execution, error detection and recovery, etc. Bio-inspired approaches pertaining to active perception and multimodal sensorimotor coordination will be encouraged. The research work will be carried out on two humanoid platforms: UJI's Tombatossals Humanoid Torso and Re-think Robotics Baxter, mounted on a mobile base. Requirements ------------------- This studentship is intended for brilliant young graduates with outstanding performance, and fulfilling the requirements for admission to a PhD programme, typically holding a Master degree in Computer Vision, Robotics, Mechatronics, or a related discipline relevant to the project. An additional background and/or interest in computational neuroscience or interdisciplinary bio-inspired research will be a plus. Excellent programming skills are essential along with the ability to develop software on robots (including ROS). The ideal candidate should be self?motivated with good writing and communication skills in English. Employment ----------------- We offer a very challenging full-time position for 3 years in an inspiring multidisciplinary and international environment. We also provide excellent facilities for professional and personal development, holiday allowances and a number of additional benefits. Your main responsibility will be to carry out research, but you will be offered the opportunity to acquire some teaching experience as well. Successful applicants will be awarded an annual bursary of 22,192 euros which amounts to a minimum annual gross salary of 16,800 ?, after deducting social costs, plus 1600 ? for travel expenses the first year. Students are expected to complete their PhD dissertation within the three year period. The expected start date is October 1, 2017 but a delay of no more than two months can be granted if necessary. Application --------------- Eligibility.- Additional requirements. The candidate should: 1- Hold an undergraduate academic degree (BSc), or equivalent in your country, in engineering, computer science or a related scientific field, by a non-Spanish institution, and have finished these studies in the period from 01/30/2014 to 01/30/2017. 2 - Hold the Master degree required for admission to the PhD programme at the date the contract will be signed, i.e. November 1, 2017 at the latest. 3- Possess a knowledge of Spanish or English, at the level of conversation, suitable for the development of the research work. 4- Not be in possession of a PhD degree 5- Not having obtained a scholarship from the Santiago Grisolia Program before Applications should include: a) Cover letter with personal data (nationality, date of birth, gender, current address) b) Copy of valid passport or Spain resident card c) Official academic transcript including the name of obtained degrees (both MSc and BSc), showing courses taken and grades achieved together with dates, as well as the maximum and minimum scores and score required for passing a course. An official translation into English or Spanish is required if the original is in another language (French, Italian or German are acceptable) d) A detailed CV in English or Spanish. e) Proof of adequate knowledge of English or Spanish f) Names of two references or recommendation letters. The candidate should submit the above documents to > as soon as possible but no later than >>>>>> JULY 15, 2017 <<<<<< Please include the above documents as a SINGLE PDF file with your name and include - ?PhD Application? in the subject-line. Please meet this deadline, even if you do not have all the documents, since missing files can be provided later. For more information, please address your inquiries to Prof. Angel P. del Pobil at > About UJI RobInLab --------------- RobInLab has 25 years experience in RTD activities and a strong record of participation in funded European, national and regional projects, as well as with companies and private foundations. RobinLab has a strong research line in robotics that was initiated in 1991 and today involves a team of 7 full-time researchers, who are also involved in the Erasmus Mundus Master Programme in Advanced Robotics. Their activities emphasize research and development in the areas of cognitive and service robotics, including motion planning, active learning, multisensory grasping and manipulation, control architectures, neuro-robotics, visual and tactile perception, social and developmental robotics. The group has been very active in benchmarks and performance evaluation in robotics research. RobinLab has participated in various European funded projects such as GUARDIANS, EYESHOTS and GRASP. It has established itself as a renowned and highly competitive research organization within the Robotics community, being one of the founding members of the EURON Network of Excellence. RobInLab offers a multidisciplinary and international environment, currently with students from 8 different nationalities. It is one of the 16 teams selected to compete at the Amazon Robotics Challenge to be held in Nagoya with Robocup 2017. Jaume I University is situated in Castellon, a city on the Mediterranean coast of Spain between Valencia and Barcelona, it seeks to maintain a principle of open competition (on the basis of merit) to appoint the best candidate, and provides equal opportunity for all candidates, and equally encourage both genders to apply, as well as candidates with disabilities. Professional perspectives --------------- Professional perspectives for our students are excellent. Former UJI RobInLab PhD alumni include winners and finalists of the European PhD George Giralt Award and Robotdalen Scientific Award, as well as recipients of Marie Curie Fellowships. They followed their careers as postdocs at prestigious universities such as the Imperial College London, University of Leeds, University of Hertfordshire, University of Plymouth, Hong kong University of Technology, or companies such as Willow Garage. Books based on their thesis and subsequent work have been published by Springer in series such as STAR or COSMOS. Currently they pursue their professional careers at companies such as Google in California, INTEL in Portland, The Shadow Robot Company, or with academic positions at Radboud University in The Netherlands or Middlesex University (U.K.) -------------- next part -------------- An HTML attachment was scrubbed... URL: From torcini at gmail.com Fri Jun 23 05:51:13 2017 From: torcini at gmail.com (A. Torcini) Date: Fri, 23 Jun 2017 11:51:13 +0200 Subject: Connectionists: 1st A*Midex CompNeuro Days, 12-13 July, Marseille (20 places left) Message-ID: ----------------------------------------------------------------------------------- 1st A*Midex CompNeuro Days Workshop on Computational Neuroscience in Marseille (France) July 12nd-13th, 2017 https://amidexcompneuro.net/ DEADLINE: June, 30th ------------------------------------------------------------------------------------- Only 20 places remaining for the 1st A*Midex CompNeuro Days, that will be held on July 12nd and 13th, at the Institut de Neurosciences de la M?diterran?e (INMED), in the Luminy Campus of Aix-Marseille University at the gates of the Calanques National Park. The aim of this workshop is to gather researchers active in the field of general computational neuroscience to illustrate the diversity of its approaches and the richness of cooperation between theorists and experimentalists, and all this in an informal atmosphere favorable to discussions, opened to PhD students. List of confirmed speakers: Nicolas Brunel (Chicago, USA), Frederic Chavane (Marseille, France) Daniel Durstewitz ( Mannheim, Germany), Boris Gutkin (Paris, France), Vincent Hakim (Paris, France), David Hansel (Paris, France), Viktor Jirsa (Marseille, France), Anna Levina (Klosterneuburg, Austria) Nicolas Mallet (Bordeaux, France), Arnaud Malvache (Marseille, France) Gianluigi Mongillo (Paris, France), Alfonso Renart (Lisbon, Portugal) Petra Ritter (Berlin, Germay) The registration is mandatory and limited to the first 90 participants, (only 20 places left) the deadline is fixed to June 30th, please register here: https://amidexcompneuro.net/registration/ No fee is requested, but no support will be given, the participants can find some information concerning accomodations on the web page, but the workshop organization cannot help in this search. The organisers David Angulo Garcia (Aix-Marseille University, INS,INMED,CPT) Demian Battaglia (Aix-Marseille University, INS) Rosa Cossart (Aix-Marseille University, INMED) Alessandro Torcini (Cergy-Pontoise University, LPTM) Sponsors: A*Midex, INMED, Institut de Neurosciences des Syst?mes, Institut de Neurosciences de La Timone, EPINEXT, PhD Program in Integrative and Clinical Neurosciences, Mediterranean Neurosciences Society, Marie Curie Actions, Societ? Italiana Caos e Complessit? -------------------------------------------------------------------------------- -- Prof. Alessandro Torcini - Laboratoire de Physique Th?orique et Mod?lisation Universit? de Cergy-Pontoise - 2 avenue Adolphe Chauvin, Pontoise 95302 Cergy-Pontoise cedex, ?le-de-France, France Bureau 4.05 T?l.: 33 (0)134257508 Fax: 33 (0)134257500 perso.u-cergy.fr/~atorcini/ From k.schwarzwaelder at fz-juelich.de Fri Jun 23 07:25:58 2017 From: k.schwarzwaelder at fz-juelich.de (Kerstin Schwarzwaelder) Date: Fri, 23 Jun 2017 13:25:58 +0200 Subject: Connectionists: =?utf-8?q?Bernstein_Conference_2017_in_G=C3=B6tti?= =?utf-8?q?ngen_-_early_room_booking_strongly_recommended_!?= In-Reply-To: <8c11f74d-4796-bf47-3e07-a02508d26508@fz-juelich.de> References: <8c11f74d-4796-bf47-3e07-a02508d26508@fz-juelich.de> Message-ID: <6167d099-76ef-3317-d127-a0a5fb530c93@fz-juelich.de> Dear colleagues, Please let me remind you that the number of available accommodation for the Bernstein Conference 2017 in G?ttingen is very limited due to several concurrent events. Thus, we strongly recommend early room booking! Many Hotels in G?ttingen are already booked out for that week! The local organizers of the Bernstein Conference arranged for room contingents in a variety of hotels that you may book by yourself by email or phone. Please follow the instructions at the Accommodations Website (www.nncn.de/de/bernstein-conference/2017/venue/accommodation). We would like to emphasize that these room contingents will be held open up to different expiration dates depending on the hotel (or until they are filled). Many expiration dates are already mid of June 2017. We strongly encourage participants to share rooms and to book rooms as a group. We emphasize that it will be very difficult to book accommodation beyond the expiration dates. Please find a list of the hotels at the Accommodations Website of the Bernstein Conference. Dates of the Bernstein Conference 2017: ************************************************************** Satellite Workshops September 12-13, 2017 Main Conference September 13-15, 2017 PhD Symposium September 12 & 15, 2017 ************************************************************** Venue of the Bernstein Conference 2017: ************************************************************** The Central Lecture Hall (Zentrales H?rsaal Geb?ude, ZHG) Platz der G?ttinger Sieben 5 37073 G?ttingen, Germany ************************************************************** Website of the Bernstein Conference 2017: ************************************************************** www.bernstein-conference.de ************************************************************** Best regards, Kerstin Schwarzw?lder -- Dr. Kerstin Schwarzw?lder Scientific Coordination / Management Officer Please note: Our email addresses have changed. Please use k.schwarzwaelder at fz-juelich.de Bernstein Network Computational Neuroscience | Bernstein Coordination Site (BCOS) Branch Office of the Forschungszentrum J?lich at the University of Freiburg Hansastr. 9A | 79104 Freiburg, Germany phone: (+49) 0761 203 9589 mail: k.schwarzwaelder at fz-juelich.de web: www.nncn.de Twitter: NNCN_Germany YouTube: Bernstein TV Facebook: Bernstein Network Computational Neuroscience, Germany LinkedIn: Bernstein Network Computational Neuroscience, Germany ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------ Forschungszentrum Juelich GmbH 52425 Juelich Sitz der Gesellschaft: Juelich Eingetragen im Handelsregister des Amtsgerichts Dueren Nr. HR B 3498 Vorsitzender des Aufsichtsrats: MinDir Dr. Karl Eugen Huthmacher Geschaeftsfuehrung: Prof. Dr.-Ing. Wolfgang Marquardt (Vorsitzender), Karsten Beneke (stellv. Vorsitzender), Prof. Dr.-Ing. Harald Bolt, Prof. Dr. Sebastian M. Schmidt ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------ -------------- next part -------------- An HTML attachment was scrubbed... URL: From barros at informatik.uni-hamburg.de Fri Jun 23 09:00:35 2017 From: barros at informatik.uni-hamburg.de (Pablo Barros) Date: Fri, 23 Jun 2017 15:00:35 +0200 Subject: Connectionists: [CFP] Computational Models for Crossmodal Learning Workshop at ICDL-EPIROB 2017 - Lisbon Message-ID: <45311dc9-9ae6-817e-89f3-eae98fa806b9@informatik.uni-hamburg.de> CALL FOR PAPERS International workshop: Computational Models for Crossmodal Learning In conjunction with the 7th Joint IEEE International Conference on Development and Learning and on Epigenetic Robotics (ICDL-EPIROB) Lisbon - Portugal - September 18, 2017 Website: https://www.informatik.uni-hamburg.de/wtm/WorkshopCrossmodalLearning2017/index.php I. Aim and Scope The ability of processing crossmodal information is a fundamental feature of the brain that provides a robust perceptual experience for an efficient interaction with the environment. Consequently, the integration of multisensory information plays a crucial role in autonomous systems to create robust and meaningful representations of objects and events. For dealing with real-world information, an autonomous, intel- ligent system must be capable of processing, integrating, and segregating different modalities for the purpose of coherent perception, decision-making, and cognitive learning. Recent neurophysiological findings in cross- modal learning have inspired novel computational models with the aim to trigger biologically inspired behavioral responses. A rich set of neural mechanisms support the integration and segregation of multimodal stimuli, providing the means to efficiently solve conflicts across modalities. This workshop aims to join research from psychology, computational neuroscience, artificial intelligence, and cognitive robotics to discuss current research on crossmodal learning mechanisms both from the theoretical and modelling perspective. Possible avenues for future research in the field of crossmodal learning are principal topics of a discussion panel. II. Target Audience This workshop is open to doctoral students and senior researchers working in computer and cognitive science, psychology, neuroscience and related areas with the focus on crossmodal learning. III. Keynote Speakers - Yulia Sandamirskaya, University of Zurich, Switzerland - Yukie Nagai, University of Osaka, Japan - Charles Spence, University of Oxford, UK - Stefan Wermter, University of Hamburg, Germany IV. Submission - For paper submission, use the following IEEE template (double column): - Submitted papers should be limited to 2 pages (extended abstract) or 4 pages maximum (short paper). - Send your pdf file to both: barros at informatik.uni-hamburg.de AND jirak at informatik.uni-hamburg.de - The primary list of topics covers the following topics (but not limited to): - Machine learning and neural networks for multimodal learning - Behavioral studies on crossmodal learning - Models of crossmodal attention and perception - New theories and findings on crossmodal processing - Bio-inspired approaches for multisensory integration - Deep learning architectures for multimodal perception - Multimodal systems for robotics. Selected contributions will be presented during the workshop as spotlight talks and in a poster session. Contributors to the workshop will be invited to submit extended versions of the manuscripts to a special issue to be arranged. Submissions will be peer reviewed consistent with the journal practices. V. Important Dates - Paper submission deadline: 31.07.2017 (strict) - Notification of acceptance: 15.08.2017 - Camera-ready version: 25.08.2017 - Workshop: 18-September-2017 VI. Organizers Pablo Barros, German I. Parisi, Doreen Jirak, Hamburg University, Germany, www.knowledge-technology.info Bruno Fernandes, Universidade de Pernambuco, Brazil -- Dr.rer.nat. Pablo Barros Research Associate Knowledge Technology Department of Informatics University of Hamburg Vogt-Koelln-Str. 30 22527 Hamburg, Germany Phone: +49 40 42883 2535 Fax: +49 40 42883 2515 barros at informatik.uni-hamburg.de https://www.inf.uni-hamburg.de/en/inst/ab/wtm/people/barros.html www.knowledge-technology.info From fbln at ecomp.poli.br Sat Jun 24 04:23:07 2017 From: fbln at ecomp.poli.br (Prof. Fernando Buarque) Date: Sat, 24 Jun 2017 09:23:07 +0100 Subject: Connectionists: THIRD CALL FOR PAPERS: IEEE 2017 LA-CCI (4rd Latin-American Conference on Computational Intelligence), Peru - Arequipa (nearby Machu Picchu) *** Extended-deadline: July, 10th Message-ID: *** Sorry for cross-post *** *** Feel free to distribute *** *2017 IEEE LA-CCI - 4rd Latin-American Conference on Computational Intelligence* Arequipa, Peru (close to Machu Picchu). *November, 8-10th, 2017* [The 6-7th, prior, will be dedicated to the LA-School on CI] *WEBSITE => **http://la-cci.org/* *3rd CFP LINK =>* *http://la-cci.org/wp-content/uploads/LA-CCI2017/3rd-CFP-IEEE-LA-CCI-2017.pdf* *LA-CCI is supported by CI Societies/Groups from Argentina, Bolivia, Brazil, Chile, Colombia, Ecuador, Mexico, Peru(Host) and Venezuela.* *IMPORTANT DATES* -Submission of full papers (23:59, GMT -5) ** July** 10th, 2017* [and also MSc/PhD Theses Contest] -Notification of acceptance and Theses Contest Notification: August 10th, 2017. -Final (camera ready) paper due: by August 27th, 2017. -Author registration: by August 27th, 2017. -Early registration: August 1st, 2017. -Regular registration: September 10th, 2017 and onwards. *School on CI: November 6-7th, 2017. *Conference Meeting: November 8-10th, 2017. *KEY-SPEAKERS (CONFIRMED):* *1) Jos? Pr?ncipe * University of Florida (USA) * Talk: ?Information Theoretic Deep Learning?* *2) Giuseppe Zollo * Universit? degli Studi di Napoli Federico II (Italy) * Talk: ?The Aesthetics of Complexity: how the mind computes the beauty?* *3) Tshilidzi Marwala * University of Johannesburg (South Africa) * Talk: ?The Challenges and Opportunities of Industry 4.0?* *4) Fernando Buarque de Lima Neto * Universidade de Pernambuco (Brazil) * Talk: ?Why Metaheuristics are so useful? * *5) Omar Florez * Intel Labs (USA) * Talk: ?From Machine Learning to Machine Understanding?* *6) Mike Preuss * University of M?nster (Germany) * Talk: ?Novel developments in CI and Games?* *7) Pablo Estevez * Universidad de Chile (Chile) *** Talk: ?Big Data Analytics using Deep Learning and Information-Theoretical Learning: Applications to Astronomy?* *8) Ronaldo Menezes * Florida Institute of Technology (USA) * Talk: ?Network and Data Science? *** Key-speaker at LA-CCI School* *CONFERENCE OVERVIEW (4th Edition of LA-CCI):* The IEEE 2017 Latin American Conference on Computational Intelligence aims to (i) bring together the Soft Computing community to present the latest achievements and innovations in the multiple areas of Computational Intelligence and (ii) encourage participation by young researchers. Following the ethos of LA-CCI (check the Manifesto at http://la-cci.org/manifesto/), we are glad to put together a high-level international forum for scientists, researchers, engineers, professionals, and educators to jointly disseminate latest research results and exchange views of the future research directions in the areas associated to Computational Intelligence. *MAIN-TRACKS:* * Evolutionary & Swarm Computation: Genetic Algorithms, Genetic Programming, Artificial Immune Systems, Swarm Intelligence, Collective Intelligence, Evolvable Hardware, Bio-inspired Methods. * Neural & Learning Systems: Neural Networks, Machine Learning, Complex Systems, Molecular and Quantum Computing, Complex Networks. * Fuzzy & Stochastic Modeling: Fuzzy Systems, Fuzzy Control & Decision Making, Uncertainty Analysis, Rough Sets, Fractals, Multiagent Systems, Reinforcement Learning, Game Theory. *SUBMISSIONS:* Papers should be no longer than 6 pages with original contributions, using the IEEE conference format, available at the event homepage along with other instructions. Papers can be submitted using the Easychair system (https://easychair.org/conferences/?conf=2017ieeelacci ). *PUBLICATION (And Special Issues):* -Accepted and presented papers will be published in the IEEE LA-CCI 2017 Conference Proceedings and submitted to IEEE Xplore? *-Top papers of IEEE LA-CCI 2017 will be indexed with IEEE / Scopus and published as extended versions in* * IJSIR (Int?l Journal of Swarm Intelligence Research) e no LNLM (Learning and Non-Linear Models).* *POST GRADUATE THESIS CONTEST * Students graded between January 1st 2016 and June 30th 2017 can send your summaries (2500 words) to Ph.D. Diego Peluffo at diegohpo at gmail.com *LA-CCI SCHOOL on COMPUTATIONAL INTELLIGENCE* Check instructions on the website. *VENUE* Arequipa, a pleasant colonial and touristic Peruvian city (18.C in November), is located 1,000 kilometers southeast of Peru?s capital, Lima. The town is next to three volcanoes and close to the world heritage of Machu Picchu. *ORGANIZERS* -General Chair LA-CCI 2017 Yv?n Jes?s T?pac Valdivia, Universidad Cat?lica San Pablo ? Peru -General Co-Chair Efren Gorrostieta, Universidad Aut?noma de Quer?taro ? Mexico -Program Chair Fernando Buarque de Lima Neto, Universidade de Pernambuco ? Brazil -Director of 2017 LA-CCI Summer School Miguel N??ez del Prado, Universidad del Pac?fico ? Peru -Competitions-Chair Diego Hern?n Peluffo-Ord??ez? Universidad T?cnica del Norte ? Ecuador -Publications Chairs Nadia Nedjah, Universidade Estadual do Rio de Janeiro ? Brazil Carmelo Bastos Filho, Universidade de Pernambuco ? Brazil -Finance Chair and Treasurer Yessenia Deysiy Yari Ramos, Universidad Cat?lica San Pablo ? Peru -Publicity and Public Relations Chairs ARGENTINA: Cristian Rodriguez Rivero ? Universidad Nacional de C?rdoba BOLIVIA: Ren? V. Reynaga ? Universidad La Salle BRAZIL: Hugo Valadares ? Federal Technological University of Paran? COLOMBIA: ?lvaro Orjuela ? Universidad Antono Nari?o CHILE: Gloria Millaray Curilem Sald?as - Universidad de La Frontera ECUADOR: Diego Hern?n Peluffo-Ord??ez? Universidad T?cnica del Norte PERU: Ernesto Cuadros Vargas, Universidad de Ingenier?a y Tecnolog?a MEXICO: Alma Alanis ? University of Guadalajara VENEZUELA: Niriaska del Carmen Perozo ? Universidad Centroccidental ?Lisandro Alvarado? *Come & enjoy a nice conference as well as a very nice region of Peru * *Cultural visits will be organized to the world heritage of Machu Picchu)* [image: LA-CCI 2017] -------------- next part -------------- An HTML attachment was scrubbed... URL: From sje30 at cam.ac.uk Sat Jun 24 15:43:07 2017 From: sje30 at cam.ac.uk (Stephen Eglen) Date: Sat, 24 Jun 2017 20:43:07 +0100 Subject: Connectionists: Postdoc position in neurophysics Message-ID: https://recruit.ucsc.edu/apply/JPF00449 UNIVERSITY OF CALIFORNIA, SANTA CRUZ SANTA CRUZ INSTITUTE FOR PARTICLE PHYSICS (SCIPP) Postdoctoral Scientist in Neurophysics The Santa Cruz Institute for Particle Physics (SCIPP) at the University of California Santa Cruz (UCSC) invites applications for the position of Postdoctoral Scholar at the interface between physics and neurobiology, under the direction of physicist Alan Litke (SCIPP) and neurobiologist David Feldheim (Molecular, Cell and Developmental Biology). Our lab works at the physics/neurobiology interface, with strong collaborative efforts of physicists and neurobiologists. In this environment, we have developed advanced experimental, computational, and genetic methods to probe a remarkable brain structure, the superior colliculus (SC) of the mouse. The SC receives and integrates sensory information related to vision, hearing and touch and, based on this information, initiates behaviors such as eye and head orientation, freezing or flight. Intrigued by the striking topological mapping and relatively unknown functional organization of the mouse SC, we are investigating this structure at a genetic, topological, functional, and behavioral level. We record the brain activity of a wildtype or transgenic mouse as the mouse watches a movie, and then apply computational methods to understand and model the processing of the visual input by the mouse?s neural system. We seek a candidate with a keen interest in an interdisciplinary approach to the study of the brain to join us in these studies. We expect the successful applicant to be an active participant in our in vivo neurobiology experiments. RANK: Postdoctoral Scholar - Employee SALARY: Commensurate with qualifications and experience, with annual range between $50,000 and $54,000. BASIC QUALIFICATIONS: Ph.D. or equivalent foreign degree in Physics, Biophysics, Bioengineering, Computer Science, Computational Neuroscience, Neurobiology or another related discipline. PREFERRED QUALIFICATIONS: The preferred candidate will have strong computational, software and data analysis skills; experience in instrumentation development; and previous experience with neurobiology experiments. POSITION AVAILABLE: July 1, 2017. Ph.D. in hand at time of appointment. TERM OF APPOINTMENT: Initial appointment is for one year, with possible extension for a total of five years: with annual reappointment contingent upon positive performance review and availability of funding. For appointments within the University of California, a total duration of an individual?s postdoctoral service may not exceed five years, including Postdoctoral service at other institutions. Under certain circumstances, a sixth year may be considered. TO APPLY: Applications are accepted via the UCSC Academic Recruit online system, and must include a curriculum vitae, a statement of research interests, a list of publications, and three confidential letters of recommendation.* Documents/materials must be submitted as PDF files. For questions, please contact Alan Litke at alan.litke at cern.ch. APPLY AT https://recruit.ucsc.edu/apply/JPF00449 Refer to Position #JPF00449 in all correspondence. *All letters will be treated as confidential per University of California policy and California state law. For any reference letter provided via a third party (i.e., dossier service, career center), direct the author to UCSC?s confidentiality statement at http://apo.ucsc.edu/confstm.htm CLOSING DATE: Review of applications will begin on May 25, 2017. To ensure full consideration, applications should be completed and letters of reference received by this date. The position will remain open until filled, but no later than 6/30/2018. The University of California is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status. UC Santa Cruz is committed to excellence through diversity and strives to establish a climate that welcomes, celebrates, and promotes respect for the contributions of all students and employees. Inquiries regarding the University?s equal employment opportunity policies may be directed to: Office for Diversity, Equity, and Inclusion at the University of California, Santa Cruz, CA 95064; (831) 459-2686. Inquiries regarding the University?s equal employment opportunity policies may be directed to: Office for Diversity, Equity, and Inclusion at the University of California, Santa Cruz, CA 95064; (831) 459-2686. Under Federal law, the University of California may employ only individuals who are legally able to work in the United States as established by providing documents as specified in the Immigration Reform and Control Act of 1986. Certain UCSC positions funded by federal contracts or sub-contracts require the selected candidate to pass an E-Verify check. More information is available here or from the Academic Personnel Office (APO) at (831) 459-4300. UCSC is a smoke & tobacco-free campus. If you need accommodation due to a disability, please contact the Academic Personnel Office at apo at ucsc.edu (831) 459-4300. VISIT THE APO WEB SITE AT: http://apo.ucsc.edu 4/21/17 JOB LOCATION Santa Cruz, CA LEARN MORE More information about this recruitment: http://apo.ucsc.edu/academic_employment/jobs/JPF00449-17T.pdf From irodero at rutgers.edu Mon Jun 26 23:08:58 2017 From: irodero at rutgers.edu (Ivan Rodero) Date: Tue, 27 Jun 2017 03:08:58 +0000 Subject: Connectionists: CFP: 10th IEEE/ACM International Conference on Utility and Cloud Computing (UCC 2017) co-located with the 4th International Conference on Big Data Computing, Applications and Technologies (BDCAT 2017) Message-ID: <4C05ABCE-8889-4983-9CCB-C55C8DA951A6@rutgers.edu> Dear fellow researchers, 10th IEEE/ACM International Conference on Utility and Cloud Computing (UCC 2017) will be held in Austin (Texas, USA) from 5th till 8th of 2017. UCC is the premier IEEE/ACM conference covering all areas related to utility computing, cloud computing services, and other forms of advanced distributed computing. UCC provides an international forum for leading researchers and practitioners in this important and growing multidisciplinary area. UCC 2017 in Austin reflects the need to bring academics and industrial researchers together to discuss how to improve existing services and how to bring new applications into the cloud. CONTEXT AND SCOPE Cloud Computing delivers computational resources on-demand as services that are commoditized and delivered comfortably analogous to traditional utilities such as electricity, gas, water and telephony. Cloud service offerings for computing, storage, and communication resources as well as for hosted software and data are growing at a tremendous rate. It is essential to understand how to effectively transform these services into Utilities that provide value to both users and providers. There is also increasing interest from commercial providers to offer business and revenue models around the services they offer. Understanding how these models could be used to provide utility for users, intermediary brokers (aggregators) and providers is also an area of active research. This will be the 10th UCC in a successful conference series of community-driven events. Previous events were held in Shanghai, China (Cloud 2009), Melbourne, Australia (Cloud 2010 & UCC 2011), Chennai, India (UCC 2010), Chicago, USA (UCC 2012), Dresden, Germany (UCC 2013), London, UK (UCC 2014), Limassol, Cyprus (UCC 2015) and Shanghai, China (UCC 2016). UCC 2017 will be co-located with the 4th International Conference on Big Data Computing, Applications and Technologies (BDCAT 2017) CALL FOR PAPERS Authors are invited to submit original unpublished research manuscripts that demonstrate current research in all areas of Cloud and Utility computing including design and analysis of distributed and centralized Cloud systems, data center design and engineering, economic and market models for cloud systems, revenue and business models and their applications in scientific and commercial deployments. The call for papers is available here. Topics of Interest Topics of interest include but are not limited to: * Principles and theoretical foundations of Utility Computing, including pricing and service models * Policy languages and programming models, such as cloud-native and cloud-enabled applications * Utility-driven models and mechanisms for Cloud federations * Autonomic techniques for Cloud applications * Utility-/comfort-driven platforms for Clouds * Architectural models to achieve Utility in Clouds * Designs and deployment models for Clouds: private, public, hybrid, federated, aggregated * Cloud Computing middleware, stacks, tools, delivery networks and services at all layers (XaaS) * Integration of Cloud systems with edge devices * Virtualization technologies and other enablers * Economic models and scenarios of use * Scalability and resource management: brokering, scheduling, capacity planning, parallelism and elasticity, as well as marketplaces * Cloud management: autonomic, adaptive, self-*, SLAs, performance models and monitoring * Applications: games, social networks, scientific computing (e-science) and business, as well as large-scale foundations for Big Data and analytics * Mobile and energy-efficient use of Clouds * Cloud business and legal implications beyond technology, such as government regulation, security, privacy, trust and jurisdiction especially in Utility - * Computing contexts * Hands-on activities, tutorials, and instructional sessions on new technologies and methods IMPORTANT DATES * Workshop proposals due* 14 May, 2017 * Tutorial and special event proposals due* 15 July, 2017 * Paper submissions due: 15 July, 2017 * Notification of acceptance: 27 August, 2017 * Camera ready papers due: 30 September, 2017 * Early registration deadline: 30 September, 2017 * Regular registration deadline: 31 October, 2017 * Late registration deadline: At the conference * ( Separate calls for submissions will be issued by each workshop or tutorial accepted ) MANUSCRIPT GUIDELINES Submitted manuscripts should be structured as technical papers and need to conform to the IEEE conference format guidelines. Electronic submissions must be in the form of a readable PDF file. Manuscript submissions must be received by July 15, 2017. All manuscripts will be reviewed by the Program Committee and evaluated on originality, relevance of the problem to the conference theme, technical strength, rigour in analysis, quality of results, and organization and clarity of presentation of the paper. Submitted papers must represent original unpublished research that is not currently under review for any other conference or journal. Further details on the publication instructions and registration information will be published on the UCC website. AWARDS AND SPECIAL ISSUES One or more best paper awards will be given for outstanding contributed papers. Selected papers from the conference will be invited to submit an extended version to reputable journals for special issues. Papers will be selected based on their reviewers? scores and appropriateness to the journal?s theme. All extended versions will undergo reviews and must represent original unpublished research work. Further details will be made available at the conference webpage. -- ============================================================= Ivan Rodero, Ph.D. Associate Director, Associate Research Professor Rutgers Discovery Informatics Institute (RDI2) Rutgers, The State University of New Jersey Office: CoRE Bldg, Rm 624 96 Frelinghuysen Road, Piscataway, NJ 08854-8019 Phone: (732) 993-8837 ============================================================= -------------- next part -------------- An HTML attachment was scrubbed... URL: From gershman at fas.harvard.edu Mon Jun 26 11:31:38 2017 From: gershman at fas.harvard.edu (Sam Gershman) Date: Mon, 26 Jun 2017 11:31:38 -0400 Subject: Connectionists: tenure-track position in computational psychology at Harvard Message-ID: The Department of Psychology at Harvard University anticipates making a tenure-track appointment at the assistant professor level to begin July 1, 2018. We seek candidates with expertise in the application of computational models toward understanding human perception or cognition. Our interest is less in specific areas and methods than in innovation and excellence in the application of modeling techniques to experimental data from adult humans, children or animals. The appointment is expected to begin on July 1, 2018. Candidates at all levels are encouraged to apply. Candidates must have a strong doctoral record and have completed their Ph.D. Candidates should have demonstrated a promise of excellence in both research and teaching. Teaching duties will include offerings at both undergraduate and graduate levels. Please submit a cover letter, curriculum vitae, research and teaching statements, up to three representative reprints, and names and contact information of three to five references (three letters of recommendation are required, and the application is complete only when all three letters have been submitted) to http://academicpositions.harvard.edu/postings/7663. Questions regarding this position can be addressed to alvarez at wjh.harvard.edu. The committee will consider completed applications starting immediately on a rolling basis through October 1. Interviews will be conducted in late September and continue in October. Harvard University is an affirmative action/equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law. We actively encourage applications from women and minority groups. -------------- next part -------------- An HTML attachment was scrubbed... URL: From garrickorchard at gmail.com Mon Jun 26 22:59:07 2017 From: garrickorchard at gmail.com (Garrick Orchard) Date: Tue, 27 Jun 2017 02:59:07 +0000 Subject: Connectionists: Various positions in Vision Processing with Spiking Neural Networks at the National University of Singapore Message-ID: We have several positions available within our lab at National University Singapore for Post-docs, Research Assistant, and interns. Please find the advertisement below, or the online version at this link www.garrickorchard.com/hiring Best, Garrick *Post-doc and Research Assistant openings in Embedded Event-Based Processing:* We have several openings available at National University of Singapore within Temasek Labs and the Singapore Institute for Neurotechnology (SINAPSE). The lab focuses on bio-inspired sensing and computation. We leverage exciting technologies including silicon retina sensors and neural processors such as the Spiking Neural Network architecture (SpiNNaker) and IBM's TrueNorth to build bio-inspired embedded sensory systems for autonomous aerial vehicles (quadcopters) and remote sensing applications. *Post-Doctoral Research Scientist* Required Qualifications: - Ph.D in Electrical/Computer Engineering, Computer Science or similar - Strong programming skills - Record of publication - Good communication skills and ability to work in a team - Preference will be given to candidates with background in programming, embedded hardware, computer vision, and neuromorphic engineering *Research Assistant* Required Qualifications: - A degee in Electrical/Computer Engineering, Computer Science or similar - Strong programming skills - Good communication skills and ability to work in a team - Preference will be given to candidates with bakground in programming, embedded hardware, computer vision, and neuromorphic engineering How to apply Interested applicants should contact garrickorchard at gmail.com with a CV for more information regarding the research programs and positions. Positions will remain open until filled. Only shortlisted applicants will be notified. -- Garrick Orchard Senior Research Scientist, National University Singapore, www.garrickorchard.com -------------- next part -------------- An HTML attachment was scrubbed... URL: From annalisa.gentile at ibm.com Mon Jun 26 15:19:18 2017 From: annalisa.gentile at ibm.com (annalisa gentile) Date: Mon, 26 Jun 2017 12:19:18 -0700 Subject: Connectionists: [CfP] ISWC2017 Next deadlines, Semantic Web Jam Session and much more! Message-ID: 16th International Semantic Web Conference (ISWC 2017) Vienna, Austria, October 21-25, 2017 ******************************************* *** Still lots of opportunities to get involved in ISWC 2017 *** you can submit your contributions to: *** Industry Track: until July 20, 2017 (**extended!!**) *** Poster and Demo session: until July 27, 2017 *** One of the Workshops: until July 21, 2017 *** Semantic Web Challenge: until September 10, 2017 ******************************************* Website: http://iswc2017.semanticweb.org Facebook: https://www.facebook.com/groups/113652365383847 Twitter: @iswc2017 (https://twitter.com/ISWC2017) Overview calls: http://iswc2017.semanticweb.org/calls/ In this announcement: 1. ISWC2017 Jam Session 2. Call for Posters and Demos 3. Call for Industry Track Contributions 4. Call for contributions: Workshops 5. Semantic Web Challenge 6. Registration 7. Important dates 1. ISWC Jam Session ========================================== The ISWC jam session officially returns! The Semantic Web community is crowded with music lovers and several of our fine researchers are also excellent music players! After the great success of the Sydney-Jam-Session at ISWC2013 we launch the Vienna-Jam-Session at ISWC2017. This is a call for musicians in the Semantic Web community that want to share their musical skills and contribute to a very fun night after the ISWC 2017 poster and demo session. We will try and cater for all music tastes: blues, funk, soul jazz, latin? feel free to suggest anything interesting! If you want to get involved (sharing tunes, ideas, music sheets) request access to the shared drive https://drive.google.com/open?id=0B29uZ3ZR9sx4OGtqdlI2NHlJeTQ and join the facebook group https://www.facebook.com/groups/420886798297740 , where we can all contribute with links, videos, suggestions etc. There will be some time to rehearse a bit before the jam, all details will be announced. Jam Session Chairs * Aldo Gangemi, Universit? Paris 13, Paris, France * Anna Lisa Gentile, IBM Research Almaden, US 2. Call for Posters and Demos ========================================== **deadline** July 27, 2017 The ISWC 2017 Posters and Demonstrations complement the paper tracks of the conference and offer an opportunity for presenting late-breaking research results, on-going research projects, and speculative or innovative work in progress. The informal setting of the Posters and Demonstrations encourages presenters and participants to engage in discussions about the work. Such discussions can be invaluable inputs for the future work of the presenters, while offering participants an effective way to broaden their knowledge of the emerging research trends and to network with other researchers. We invite submissions relevant to the area of the Semantic Web and which address, but are not limited to, the topics of the Research Track; the In-Use Track; and the Resources Track. Technical posters, reports on Semantic Web software systems (free or commercial), descriptions of completed work, and work in progress are all welcome. Demonstrations are intended to showcase innovative Semantic Web related implementations and technologies, both in academia and in industry. We explicitly welcome entries from the industry. However, submissions for posters and demos should go beyond pure advertisements of commercial software packages and convey a minimal scientific contribution. Authors of full papers accepted for the Research Track; the In-Use Track; and the Resources Track are explicitly invited to submit a demonstration. Detailed info: http://iswc2017.semanticweb.org/calls/call-for-posters-and-demos/ Program Chairs * Nadeschda Nikitina, University of Oxford, Oxford, UK * Dezhao Song, Thomson Reuters, Eagan, MN, USA 3. Call for Industry Track Contributions ========================================== **deadline** July 20, 2017 (extended!!) The Industry Track seeks to present the state of adoption of semantic technologies in industrial applications. These technologies may be used in specific industries (e.g., media, financials, telecommunications, healthcare, life sciences, government, intelligence, etc.) or as a horizontal technology, and in different application areas (e.g., business intelligence, analytics, search, content management, knowledge management, recommendation systems, data integration, etc.). We welcome contributions about success stories as well as experiences and discussions of obstacles that stand in the way of large scale adoption of certain technologies. Particular emphasis should be put on the demonstration of business value created by using the semantic technologies. We encourage the following two categories of submissions: - Success stories of business-relevant, industrial deployments of Semantic Web technologies - Position statements that outline potential strategic applications and use cases of semantic technologies Come and join us at the ISWC 2017 industry track to share your experience! Detailed info: http://iswc2017.semanticweb.org/calls/call-for-contributions-industry-track-iswc-2017/ Program Chairs * Achille Fokoue, IBM Yorktown, NY, USA * Peter Haase, metaphacts, Walldorf, Germany 4. Call for contributions: Workshops ========================================== The full list of accepted workshops can be found at https://iswc2017.semanticweb.org/program/workshops/ Please check their individual websites for the specific calls. The general deadline for workshop is **July 21, 2017** but can be subject to minor variations among different workshops. Full list of accepted workshops: [BLINK] Benchmarking Linked Data [BlkMirror] Re-coding Black Mirror [DeSemWeb] Decentralizing the Semantic Web [HSSUE] Hybrid Statistical Semantic Understanding and Emerging Semantics [LD4IE] Linked Data for Information Extraction [MaCSeW] Managing Changes in the Semantic Web [NLIWOD] Natural Language Interfaces for the Web of Data [OM] Ontology Matching [PrivOn] Society, Privacy and the Semantic Web - Policy and Technology [PROFILES] Dataset PROFlLing and fEderated Search for Web Data [SemSci] Enabling Open Semantic Science [SemStats] Semantic Statistics [SWIT] Semantic Web Technologies for the IoT [S4BioDiv] Semantics for Biodiversity [VOILA] Visualization and Interaction for Ontologies and Linked Data [WHiSe] Humanities in the Semantic Web [WOMoCoE] Ontology Modularity, Contextuality, and Evolution [WOP] Ontology Design and Patterns [WSP] Web Stream Processing Workshops & Tutorials Chairs * Aidan Hogan, Universidad de Chile, Santiago, Chile * Valentina Presutti, Institute of Cognitive Sciences and Technologies, CNR, Rome, Italy 5. Semantic Web Challenge ========================================== This year?s challenge will be about knowledge graphs, which are currently among the most prominent implementations of Semantic Web technologies. It will be centered around two important tasks for building large-scale knowledge graphs: Knowledge graph population. Given the name and type of a subject entity, (e.g., a company) and a relation, (e.g., CEO) participants are expected to provide the value(s) for the relation. Knowledge graph validation. Given a statement about an entity, e.g., the CEO of a company, participants are expected to provide an assessment about the correctness of the statement. For both tasks, users may use a portion of the knowledge graph for training. Furthermore, arbitrary sources (e.g., external datasets, Web pages, etc.) may be used as input. For both tasks, users may use a portion of the knowledge graph for training. Furthermore, arbitrary sources (e.g., external datasets, Web pages, etc.) may be used as input. Participants may choose to participate in one or both tasks. The evaluation of challenge participants will be carried out on the Knowledge Graph owned by Thomson Reuters (TR). The KG has a public and a private part; the public part can be used for building and training the candidate systems, the private part will be used for evaluation. Training data is already available at http://permid.org Test data will be released on August 13th, 2017 The submission deadline for all the tasks is September 10th, 2017 Finalists will be announced on September 15th, 2017 The winning team of each task will receive 1000?. The sum will be shared amongst the winning teams if several teams are declared the winners. Further details available at https://iswc2017.semanticweb.org/calls/iswc-semantic-web-challenge-2017/ Program Chairs * Axel-Cyrille Ngonga Ngomo, University of Paderborn, Germany * Heiko Paulheim, University of Mannheim, Germany * Dan Bennett, Thomson Reuters, USA 6. Registration ========================================== Early registration is now open! You can find all details and register at https://iswc2017.semanticweb.org/attending/registration/ 7. Important Dates ========================================== Registration starts Open now!! Doctoral Consortium notifications sent June 30, 2017 Author rebuttal period (Research, In-Use, Resources tracks) June 23-27, 2017 Submissions due (Industry track) July 20, 2017 Notifications sent (Research, In-Use, Resources tracks) July 14, 2017 Camera-ready papers for Doctoral Consortium due July 18, 2017 Workshop paper submissions due July 21, 2017 Poster & Demo submissions due July 27, 2017 Camera-ready papers due (Research, In-Use, Resources tracks) July 28, 2017 Notifications sent (Industry track) August 9, 3017 Workshop paper notifications sent August 24, 2017 Poster & Demo notifications sent August 24, 2017 Student activity applications due August 31, 2017 Final version industry track papers due August 31, 2017 Camera-ready copies for Poster & Demo due September 4, 2017 The last day for early registrations September 8, 2017 Workshops & Tutorials October 21 & 22, 2017 Conference October 23, 24 & 25, 2017 We thank our platinum sponsor IBM Research and our gold sponsors Siemens, Thomson Reuters, Semantic Web Company, data.world and Big Data Europe for their support. To learn more about ISWC 2017 sponsorship opportunities, please see https://iswc2017.semanticweb.org/sponsorship/ The ISWC Organising Committee ( http://iswc2017.semanticweb.org/organization/) -------------- next part -------------- An HTML attachment was scrubbed... URL: From dorien.herremans at gmail.com Tue Jun 27 06:25:15 2017 From: dorien.herremans at gmail.com (Dorien Herremans) Date: Tue, 27 Jun 2017 18:25:15 +0800 Subject: Connectionists: =?utf-8?q?Special_Issue_on_Deep_Learning_for_Musi?= =?utf-8?q?c_and_Audio_in_Springer=E2=80=99s_Neural_Computing_and_A?= =?utf-8?q?pplications?= Message-ID: Special Issue on Deep Learning for Music and Audio in Springer's Neural Computing and Applications (Impact factor: 1.492) Submission deadline: November 17th Description and covered topics There has been tremendous interest in deep learning across many fields of study. Recently, these techniques have gained popularity in the field of music. Projects such as Magenta (Google's Brain Team's music generation project), Jukedeck and others testify to their potential. Following the recent success of the First International Workshop on Deep Learning and Music (DLM2017) joint with IJCNN, this special issue aims to offer a venue for publishing the latest state-of-the art in the field of Deep Learning for Music and Audio. While humans can rely on their intuitive understanding of musical patterns and the relationships between them, it remains a challenging task for computers to capture and quantify musical structures. Recently, researchers have attempted to use deep learning models to learn features and relationships that allow us to accomplish tasks in music transcription, audio feature extraction, emotion recognition, music recommendation, and automated music generation. The goal of this special issue is to provide a forum for advancing the state-of-the-art in Deep Learning techniques in the field of Music and Audio. High quality papers are welcomed, including but not limited to topics listed below: - Deep learning for feature extraction and semantic modeling for music and audio - Modeling hierarchical and long term music structures using deep learning - Modeling ambiguity and preference in music - Modeling of music cognition - Applications of deep networks for music and audio such as audio transcription, voice separation, music recommendation and etc. - Novel architectures designed for music and audio - Software frameworks and tools for deep learning in music and audio About the journal Neural Computing & Applications is an international journal which publishes original research and other information in the field of practical applications of neural computing and related techniques such as genetic algorithms, fuzzy logic and neuro-fuzzy systems. All items relevant to building practical systems are within its scope, including contributions in the area of applicable neural networks theory, supervised and unsupervised learning methods, algorithms, architectures, performance measures, applied statistics, software simulations, hardware implementations, benchmarks, system engineering and integration and case histories of innovative applications. The Original Articles will be high-quality contributions, representing new and significant research, developments or applications of practical use and value. They will be reviewed by at least two referees. Guest editors: Prof. Dr. D. Herremans, Singapore University of Technology and Design Prof. Dr. C.H. Chuan, University of North Florida Submission deadline: November 17th Please use the submission system of the journal for your submissions and indicate the special issue during submission at https://www.springer.com/ journal/521/submission Any inquiries can be directed at Dr. Dorien Herremans through dorien.herremans [a] gmail [] com Join the Deep Learning for Music mailing list at https://groups.google.com/ forum/#!forum/icdlm -- Dorien Herremans, PhD Marie-Curie Fellow http://dorienherremans.com Queen Mary University of London School of Electronic Engineering and Computer Science C4DM - Centre for Digital Music, London Workshop on Deep Learning and Music , May'17 Anchorage, Alaska. -------------- next part -------------- An HTML attachment was scrubbed... URL: From jwinn at microsoft.com Tue Jun 27 08:29:52 2017 From: jwinn at microsoft.com (John Winn) Date: Tue, 27 Jun 2017 12:29:52 +0000 Subject: Connectionists: Call for Nominations - 2017 PAMI Everingham Prize Award Message-ID: CALL FOR NOMINATIONS - 2017 PAMI Everingham Prize Award This annual award is given to a researcher, or a team of researchers, who have made a selfless contribution of significant benefit to other members of the computer vision community. The award is given out by the IEEE Pattern Analysis and Machine Intelligence (PAMI) Technical Committee, and the selection is managed by the PAMI TC awards committee. The winner will be announced at the International Conference on Computer Vision (ICCV) 2017. ABOUT THE AWARD The Everingham Prize has been created to commemorate Mark Everingham and to encourage others to follow in his footsteps by acting to further progress in the computer vision community as a whole. An appreciation of Mark Everingham's contributions is at: http://bit.ly/markever. The Prize consists of a Gift to the Recipient of USD 3,000 which will be presented during the conference, along with a plaque. The winners will be listed on the PAMI TC web site. Further information about the Everingham Prize may be found at: http://www.computer.org/portal/web/tcpami/Everingham-Prize NOMINATING A CANDIDATE A nomination for the award should include name(s) and contact detail(s) of the Candidate individual or team and nominator, a brief description of the contribution, and should address the following four selection criteria (quantitatively where possible): 1. The impact of the contribution - in terms of the degree of benefit to the community and the number of community members benefitting, 2. The time and effort that went into the contribution, 3. The degree to which the Candidate sought to understand and address the needs of the community - particularly those members whose needs have previously been overlooked, 4. The lasting nature of the contribution - the length of time over which the community has actively benefitted, or is expected to benefit looking ahead. Note, previous nominations will also be considered for this year, so there is no need to renominate unless new information is available. SUBMISSIONS Nominations should be made by email to everingham-prize at googlegroups.com by 31st August 2017 -------------- next part -------------- An HTML attachment was scrubbed... URL: From mark.humphries at manchester.ac.uk Tue Jun 27 08:40:20 2017 From: mark.humphries at manchester.ac.uk (Mark Humphries) Date: Tue, 27 Jun 2017 12:40:20 +0000 Subject: Connectionists: Final call for abstracts: June 30th for the Integrated Systems Neuroscience 2017 meeting (Manchester, UK) In-Reply-To: <7E954275ED82B9468C2C731FB72522F5013E060E66@MBXP09.ds.man.ac.uk> References: <7E954275ED82B9468C2C731FB72522F5013E060E66@MBXP09.ds.man.ac.uk> Message-ID: <368CFE45-8035-49BA-9F49-3A43A2082E86@manchester.ac.uk> We announce the final call for abstracts for the Integrated Systems Neuroscience meeting (7-8th September 2017, Manchester, UK). Abstract submission deadline: June 30th 2017 (Decision: July 28th) (Registration deadline: August 11th ) For abstract submission information and registration, please visit: https://www.bmh.manchester.ac.uk/conferences-meetings/isn2017/ Meeting information: The goal of this meeting is to present the state-of-the-art in integrated systems and computational approaches to key neural circuits. A poster session with wine reception will be held on the first evening. Confirmed speakers: Rune Berg (Copenhagen University) Tiago Branco (Sainsbury Wellcome Centre for Neural Circuits) Neil Burgess (Institute of Cognitive Neuroscience, UCL) Megan Carey (Champalimaud Institute, Lisbon) Claudia Clopath (Imperial College, London) Kate Jeffery (UCL) Christian Machens (Champalimaud Institute, Lisbon) Jonathan Pillow (Princeton) Simon Peron (New York University) Manuel Zimmer (IMP, Austria) Organisers: Mark Humphries & Rasmus Petersen (University of Manchester) Sponsors: we gratefully acknowledge the support of the Medical Research Council _____________________________________________________________________________ Dr Mark Humphries | MRC Senior non-Clinical Research Fellow | Faculty of Biology, Medicine & Health http://www.systemsneurophysiologylab.manchester.ac.uk/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From padsmagt at gmail.com Tue Jun 27 09:45:10 2017 From: padsmagt at gmail.com (Patrick van der Smagt) Date: Tue, 27 Jun 2017 15:45:10 +0200 Subject: Connectionists: Deep Learning and Robotics Challenge in Munich Message-ID: <28EDC87C-7F9C-4A10-83F7-29C2022C9783@gmail.com> Volkswagen Group AI Research---a part of the Data:Lab in Munich---invites students to join the 2017 Deep Learning and Robotics Challenge. The challenge is scheduled to take place from September 11 to October 13, 2017. You will collaborate with your peers in small groups to solve a robotics challenge while developing and using deep-learning methodologies in a Python-environment with TensorFlow. All groups will compete to have their robot solve the set task as efficiently as possible. The challenge will be crowned with a ceremony at GTC Europe (Oct. 10--12 in Munich) for the winning team. All code that you will develop within this challenge will be open-sourced. Your major input will be related to machine learning, and less so to robotics. The DLRC is set up in collaboration with NVIDIA. In this collaboration, we will provide you with a compute infrastructure based on DGX-1, 1080s and Jetsons. Further information and application through http://argmax.ai/#dlrc. Application deadline: July 31, 2017. From terry at salk.edu Tue Jun 27 11:47:46 2017 From: terry at salk.edu (Terry Sejnowski) Date: Tue, 27 Jun 2017 08:47:46 -0700 Subject: Connectionists: NEURAL COMPUTATION - July 1, 2017 In-Reply-To: Message-ID: Neural Computation - Volume 29, Number 7 - July 1, 2017 Available online for download now: http://www.mitpressjournals.org/toc/neco/29/7 ----- Article Extraction of Synaptic Input Properties in Vivo Paolo Puggioni, Marta Jelitai, Ian Duguid, and Mark C.W. van Rossum Letters Effect of Phase Response Curve Shape and Synaptic Driving Force on Synchronization of Coupled Neuronal Oscillators Ramana Dodla, Charles J Wilson Determination of the Lowest-Energy States for the Model Distribution of Trained Restricted Boltzmann Machines Using a 1000 Qubit D-Wave 2X Quantum Computer Yaroslav Koshka, Dilina Perera, Spencer Hall, and M.A. Novotny Local Intrinsic Dimension Estimation by Generalized Linear Modeling Hideitsu Hino, Jun Fujiki, Shotaro Akaho, and Noboru Murata Generalization Analysis of Fredholm Kernel Regularized Classifiers Tieliang Gong, Zongben Xu, and Hong Chen A Weight Adaptive Laplacian Embedding for Graph-Based Clustering De Cheng, Feiping Nie, Yihong Gong, and Jiande Sun Support Vector Algorithms for Optimizing the Partial Area Under the ROC Curve Harikrishna Narasimhan, Shivani Agarwal A Customized Attention-based Long Short Term Memory Network for Distant Supervised Relation Extraction Dengchao He, Hongjun Zhang, Wenning Hao, Rui Zhang, and Kai Cheng Multi-View Feature Analysis via Structured Sparsity and Shared Subspace Discovery Yan-Shuo Chang, Feiping Nie, and Ming-Yu Wang ------------ ON-LINE -- http://www.mitpressjournals.org/neuralcomp SUBSCRIPTIONS - 2017 - VOLUME 29 - 12 ISSUES Student/Retired $80 Individual $142 Institution $1,141 MIT Press Journals, One Rogers Street, Cambridge, MA 02142-1209 Tel: (617) 253-2889 FAX: (617) 577-1545 journals-cs at mit.edu ------------ From cristian.rodriguezrivero at gmail.com Tue Jun 27 13:08:40 2017 From: cristian.rodriguezrivero at gmail.com (Cristian Rodriguez Rivero) Date: Tue, 27 Jun 2017 10:08:40 -0700 Subject: Connectionists: THIRD CALL FOR PAPERS: IEEE 2017 LA-CCI (4rd Latin-American Conference on Computational Intelligence), Peru - Arequipa (nearby Machu Picchu) *** Extended-deadline: July, 10th Message-ID: *2017 IEEE LA-CCI - 4rd Latin-American Conference on Computational Intelligence* Arequipa, Peru (close to Machu Picchu). *November, 8-10th, 2017* [The 6-7th, prior, will be dedicated to the LA-School on CI] *WEBSITE => **http://la-cci.org/* *3rd CFP LINK =>* *http://la-cci.org/wp-content/uploads/LA-CCI2017/3rd-CFP-IEEE-LA-CCI-2017.pdf* *LA-CCI is supported by CI Societies/Groups from Argentina, Bolivia, Brazil, Chile, Colombia, Ecuador, Mexico, Peru(Host) and Venezuela.* *IMPORTANT DATES* -Submission of full papers (23:59, GMT -5) ** July** 10th, 2017* [and also MSc/PhD Theses Contest] -Notification of acceptance and Theses Contest Notification: August 10th, 2017. -Final (camera ready) paper due: by August 27th, 2017. -Author registration: by August 27th, 2017. -Early registration: August 1st, 2017. -Regular registration: September 10th, 2017 and onwards. *School on CI: November 6-7th, 2017. *Conference Meeting: November 8-10th, 2017. *KEY-SPEAKERS (CONFIRMED):* *1) Jos? Pr?ncipe * University of Florida (USA) * Talk: ?Information Theoretic Deep Learning?* *2) Giuseppe Zollo * Universit? degli Studi di Napoli Federico II (Italy) * Talk: ?The Aesthetics of Complexity: how the mind computes the beauty?* *3) Tshilidzi Marwala * University of Johannesburg (South Africa) * Talk: ?The Challenges and Opportunities of Industry 4.0?* *4) Fernando Buarque de Lima Neto * Universidade de Pernambuco (Brazil) * Talk: ?Why Metaheuristics are so useful? * *5) Omar Florez * Intel Labs (USA) * Talk: ?From Machine Learning to Machine Understanding?* *6) Mike Preuss * University of M?nster (Germany) * Talk: ?Novel developments in CI and Games?* *7) Pablo Estevez * Universidad de Chile (Chile) *** Talk: ?Big Data Analytics using Deep Learning and Information-Theoretical Learning: Applications to Astronomy?* *8) Ronaldo Menezes * Florida Institute of Technology (USA) * Talk: ?Network and Data Science? *** Key-speaker at LA-CCI School* *CONFERENCE OVERVIEW (4th Edition of LA-CCI):* The IEEE 2017 Latin American Conference on Computational Intelligence aims to (i) bring together the Soft Computing community to present the latest achievements and innovations in the multiple areas of Computational Intelligence and (ii) encourage participation by young researchers. Following the ethos of LA-CCI (check the Manifesto at http://la-cci.org/manifesto/), we are glad to put together a high-level international forum for scientists, researchers, engineers, professionals, and educators to jointly disseminate latest research results and exchange views of the future research directions in the areas associated to Computational Intelligence. *MAIN-TRACKS:* * Evolutionary & Swarm Computation: Genetic Algorithms, Genetic Programming, Artificial Immune Systems, Swarm Intelligence, Collective Intelligence, Evolvable Hardware, Bio-inspired Methods. * Neural & Learning Systems: Neural Networks, Machine Learning, Complex Systems, Molecular and Quantum Computing, Complex Networks. * Fuzzy & Stochastic Modeling: Fuzzy Systems, Fuzzy Control & Decision Making, Uncertainty Analysis, Rough Sets, Fractals, Multiagent Systems, Reinforcement Learning, Game Theory. *SUBMISSIONS:* Papers should be no longer than 6 pages with original contributions, using the IEEE conference format, available at the event homepage along with other instructions. Papers can be submitted using the Easychair system (https://easychair.org/conferences/?conf=2017ieeelacci ). *PUBLICATION (And Special Issues):* -Accepted and presented papers will be published in the IEEE LA-CCI 2017 Conference Proceedings and submitted to IEEE Xplore? *-Top papers of IEEE LA-CCI 2017 will be indexed with IEEE / Scopus and published as extended versions in* * IJSIR (Int?l Journal of Swarm Intelligence Research) e no LNLM (Learning and Non-Linear Models).* *POST GRADUATE THESIS CONTEST * Students graded between January 1st 2016 and June 30th 2017 can send your summaries (2500 words) to Ph.D. Diego Peluffo at diegohpo at gmail.com *LA-CCI SCHOOL on COMPUTATIONAL INTELLIGENCE* Check instructions on the website. *VENUE* Arequipa, a pleasant colonial and touristic Peruvian city (18.C in November), is located 1,000 kilometers southeast of Peru?s capital, Lima. The town is next to three volcanoes and close to the world heritage of Machu Picchu. *ORGANIZERS* -General Chair LA-CCI 2017 Yv?n Jes?s T?pac Valdivia, Universidad Cat?lica San Pablo ? Peru -General Co-Chair Efren Gorrostieta, Universidad Aut?noma de Quer?taro ? Mexico -Program Chair Fernando Buarque de Lima Neto, Universidade de Pernambuco ? Brazil -Director of 2017 LA-CCI Summer School Miguel N??ez del Prado, Universidad del Pac?fico ? Peru -Competitions-Chair Diego Hern?n Peluffo-Ord??ez? Universidad T?cnica del Norte ? Ecuador -Publications Chairs Nadia Nedjah, Universidade Estadual do Rio de Janeiro ? Brazil Carmelo Bastos Filho, Universidade de Pernambuco ? Brazil -Finance Chair and Treasurer Yessenia Deysiy Yari Ramos, Universidad Cat?lica San Pablo ? Peru -Publicity and Public Relations Chairs ARGENTINA: Cristian Rodriguez Rivero ? Universidad Nacional de C?rdoba BOLIVIA: Ren? V. Reynaga ? Universidad La Salle BRAZIL: Hugo Valadares ? Federal Technological University of Paran? COLOMBIA: ?lvaro Orjuela ? Universidad Antono Nari?o CHILE: Gloria Millaray Curilem Sald?as - Universidad de La Frontera ECUADOR: Diego Hern?n Peluffo-Ord??ez? Universidad T?cnica del Norte PERU: Ernesto Cuadros Vargas, Universidad de Ingenier?a y Tecnolog?a MEXICO: Alma Alanis ? University of Guadalajara VENEZUELA: Niriaska del Carmen Perozo ? Universidad Centroccidental ?Lisandro Alvarado? *Come & enjoy a nice conference as well as a very nice region of Peru * *Cultural visits will be organized to the world heritage of Machu Picchu)* [image: LA-CCI 2017] Ph.D., Prof. Cristian Rodriguez Rivero Center for Neuroscience Dept. of Neurobiology, Physiology & Behavior University of California 1544 Newton Court Davis, CA 95618, USA e-mail: crodriguezrivero at ucdavis.edu lab: +1 (530) 754-6987 fax: +1 (530) 757-8827 Cel: +1 (530) 407-9152 <%2B1%20%28530%29%20757-8827> -------------- next part -------------- An HTML attachment was scrubbed... URL: From markus.butz-ostendorf at biomax.com Wed Jun 28 05:44:52 2017 From: markus.butz-ostendorf at biomax.com (Markus Butz-Ostendorf) Date: Wed, 28 Jun 2017 11:44:52 +0200 Subject: Connectionists: New book on structural plasticity released Message-ID: <1a80e3ac-cf1a-9b65-b987-50f8af9a305c@biomax.com> Dear colleagues, ** Apologies for cross postings. ** I would like to draw your attention to our recently published book "The Rewiring Brain", Academic Press, June 2017. https://www.elsevier.com/books/the-rewiring-brain/van-ooyen/978-0-12-803784-3 Kind regards Markus Butz ** Description ** The adult brain is not as hard-wired as traditionally thought. By modifying their small- or large-scale morphology, neurons can make new synaptic connections or break existing ones (structural plasticity). Structural changes accompany memory formation and learning, and are induced by neurogenesis, neurodegeneration and brain injury such as stroke. Exploring the role of structural plasticity in the brain can be greatly assisted by mathematical and computational models, as they enable us to bridge the gap between system-level dynamics and lower level cellular and molecular processes. However, most traditional neural network models have fixed neuronal morphologies and a static connectivity pattern, with plasticity merely arising from changes in the strength of existing synapses (synaptic plasticity). In The Rewiring Brain, the editors bring together for the first time contemporary modeling studies that investigate the implications of structural plasticity for brain function and pathology. Starting with an experimental background on structural plasticity in the adult brain, the book covers computational studies on homeostatic structural plasticity, the impact of structural plasticity on cognition and cortical connectivity, the interaction between synaptic and structural plasticity, neurogenesis-related structural plasticity, and structural plasticity in neurological disorders. View more > https://www.elsevier.com/books/the-rewiring-brain/van-ooyen/978-0-12-803784-3# ** Key Features ** Reviews the current state of knowledge of structural plasticity in the adult brain Gives a comprehensive overview of computational studies on structural plasticity Provides insights into the potential driving forces of structural plasticity and the functional implications of structural plasticity for learning and memory Serves as inspiration for developing novel treatment strategies for stimulating functional repair after brain damage Readership Advanced graduate students and researchers in the fields of computational neuroscience, experimental neuroscience, neurobiology, and computer science ** Table of Contents ** Section 1. Experimental Background 1. Structural plasticity and cortical connectivity 2. Structural plasticity induced by adult neurogenesis 3. Structural neural plasticity during stroke recovery 4. Is lesion-induced synaptic rewiring driven by activity homeostasis? Section 2. Homeostatic Structural Plasticity 5. Network formation through activity-dependent neurite outgrowth: a review of a simple model of homeostatic structural plasticity 6. Clustered arrangement of inhibitory neurons can lead to oscillatory dynamics in a model of activity-dependent structural plasticity 7. A detailed model of homeostatic structural plasticity based on dendritic spine and axonal bouton dynamics 8. Critical periods emerge from homeostatic structural plasticity in a full-scale model of the developing cortical column 9. Lesion-induced dendritic remodeling as a new mechanism of homeostatic structural plasticity in the adult brain View more > https://www.elsevier.com/books/the-rewiring-brain/van-ooyen/978-0-12-803784-3# Details No. of pages: 592 Language: English Copyright: ? Academic Press 2017 ** About the Editor ** ** Arjen van Ooyen ** Van Ooyen was trained as a (theoretical) biologist and received his PhD in computational neuroscience from the University of Amsterdam, the Netherlands, in 1995. After postdoctoral periods at the University of Edinburgh, UK, and the Netherlands Institute for Brain Research in Amsterdam, he started working at VU University Amsterdam in 2004, first as assistant professor and later as associate professor. His long-term interests include the computational and mathematical modeling of neuronal morphogenesis and the development of synaptic connectivity, with a focus on the role of homeostatic structural plasticity in the formation and reorganization of neuronal networks. He is editor of the book Modeling Neural Development (MIT Press, 2003) and author of the review paper Using theoretical models to analyse neural development (Nature Reviews Neuroscience, 2011). Affiliations and Expertise Department of Integrative Neurophysiology, Center for Neurogenomics and Cognitive Research (CNCR), VU University Amsterdam, The Netherlands ** Markus Butz-Ostendorf ** Markus Butz-Ostendorf, Ph.D. Markus Butz-Ostendorf studied informatics and biology and holds a PhD in neuroanatomy. He did several postdocs at e.g. at the Bernstein Center for Computational Neuroscience G?ttingen, the Neuroscience Campus VU Universiteit Amsterdam and the Forschungszentrum J?lich. His research focus is on modeling structural plasticity in the healthy and diseased brain. Together with Arjen van Ooyen, he phrased a computational theory on the driving forces for homeostatic structural plasticity following brain lesions. The underlying algorithms are freely available in the modeling framework for large-scale spiking neuronal networks NEST. He recently edited Frontiers Research Topic "Anatomy and plasticity in large-scale neuronal networks." Affiliations and Expertise Biomax Informatics AG, Planegg, Germany -- Dr. rer. nat. Markus Butz-Ostendorf Product Manager Biomax Informatics AG Robert-Koch-Str. 2, 82152 Planegg, Germany Registergericht: Amtsgericht M?nchen, HRB 134442 Vorstand: Dr. Klaus Heumann Vorsitzender des Aufsichtsrates: Prof. Dr. Hans-Werner Mewes Tel: +49 89 895574-862 Fax: +49 89 895574-825 Email: markus.butz-ostendorf at biomax.com Website: http://www.biomax.com PGP: https://ssl.biomax.de/pgp/ From mfasli at essex.ac.uk Wed Jun 28 10:21:11 2017 From: mfasli at essex.ac.uk (Fasli, Maria) Date: Wed, 28 Jun 2017 14:21:11 +0000 Subject: Connectionists: CFP: Frontiers and Advances in Data Science, 23-25 October 2017, Xian, China Message-ID: CALL FOR PAPERS 1st International Conference on the Frontiers and Advances in Data Science (FADS) 23-25 October 2017, Xian, China Our lives and society have been transformed by advances in modern information and communication technologies. Devices such as mobile phones and tablets and applications such as social networks have changed how we interact with the world around us and each other and the way we conduct business, government and science. With computational technologies permeating almost all aspects of human activity the amount of data being generated is constantly increasing and we are surrounded by a wealth of new forms of data. We are at the cusp of a new data and information revolution. This proliferation of data calls for novel, multi and interdisciplinary approaches in data science and analytics to tackle the problems that data pose. New approaches for harnessing data and drawing insights will bring huge benefits to fields as diverse as health, finance, running smarter cities, the environment, business and public policy. The First International Conference on Frontiers and Advances in Data Science (FADS) will bring together scientists, professionals, industry practitioners and users from range of disciplinary backgrounds and application domains to share knowledge and the latest developments in data science and analytics. We invite the submission of original and previously unpublished theoretical and practical work in all fields of data science and analytics including methodologies and techniques for big data. All submissions will be reviewed by at least two members of the Program Committee on the basis of novelty, technical quality, relevance to the conference theme, significance, and clarity of presentation. Accepted papers will be submitted for inclusion into IEEE Xplore and selected papers will be invited to a special Journal issue. Further information is available from the FADS 2017 website http://www.fads.org.uk FADS welcomes submissions on (but not limited to) the following topics: Data Science Foundations ? Machine Learning ? Mathematical and statistical models ? Novel theoretical models ? Computational Models ? Preprocessing and dimensionality reduction ? Efficiency and complexity ? Optimization Analytics ? Multi-stream reasoning and analytics ? Text analysis and mining ? Causal inference ? Visualisation ? Modelling complex and big data ? Personalisation analytics and recommender systems ? Social network analytics ? Multimedia/image processing and analytics ? Information retrieval and search ? Semantic information extraction and reasoning Data Infrastructure and Management ? New data standards ? Data cleansing ? Data integration ? Data sharing ? Data linkage ? Data curation and publishing ? Cloud/Grid/Stream Computing architectures ? Distributed and parallel/high performance processing ? Data warehouses ? Open platforms for analytics ? Big data architectures and platforms Security, governance and privacy ? Governance ? Intrusion, anomaly and threat detection ? Data integrity ? Data security and risk ? Trust and trust management ? Privacy preserving techniques and anonymisation ? Privacy protection standards and policies ? Legal aspects of analytics and big data Social and economic aspects ? Ethical considerations in the era of analytics and big data ? New business models ? Sociological aspects of analytics and big data ? Analytics and big data for sustainable development ? Analytics and big data for the social good ? Analytics and big data for the supporting the Sustainable Development Goals (SDGs) Applications ? Scientific applications of analytics and big data ? Internet of Things ? Internet of Persons ? Smart Cities and Transport ? Business and Finance Analytics ? Healthcare analytics and decision support ? Decision making and support systems ? Analytics and big data for policy making and the public sector ? Social networks and applications ? Industrial applications of analytics and big data ? Analytics for telecommunications and networks applications Important Dates Paper Submission deadline: 10th July 2017 Notification of acceptance: 20th August 2017 Camera-ready Manuscript: 1st September 2017 Registration deadline: (for accepted papers): 10th September 2017 For more information please visit the FADS webpage: http://www.fads.org.uk Conference Organisation General Chairs ? Prof Maria Fasli, UNESCO Chair in Analytics and Data Science, University of Essex ? Prof Peng Jinye, Dean of School of Information Science and Technology, Northwest University Program Chairs ? Prof Hangzai Luo, Northwest University, China ? Prof Frank Wang, University of Kent, UK ? Prof Mohammad Essaaidi, ENSYAS, Morocco ? Prof Bruce Bassett, University of Cape Town; AIMS, South Africa Contact Information fads at essex.ac.uk; iads at essex.ac.uk Professor Maria Fasli PhD, NTF, FHEA UNESCO Chair in Analytics and Data Science Director, Institute for Analytics and Data Science University of Essex T +44 (0)1206 872327 E mfasli at essex.ac.uk Follow us on Twitter @EssexIADS [Description: Macintosh HD:private:var:folders:hc:0szf3wnn715_cxly5980l7440000gn:T:TemporaryItems:29215_unitwin_uk_essex_analytics_logo_en_ALL_BLACK.PNG] PA Emma McClelland T +44 (0)1206 873496 E ejmccl at essex.ac.uk ? http://www.essex.ac.uk/iads/ Join us for the Essex Big Data and Analytics Summer School 24 July to 4 August 2017 http://www.essex.ac.uk/iads/events/summer-school.aspx WE ARE ESSEX TOP 20 FOR RESEARCH EXCELLENCE TOP 10 FOR STUDENT SATISFACTION [cid:7BA5CEF3-F52F-48E7-B436-3AAD08B6F776][cid:323FBFDF-18BD-445C-B586-9B45A4044FAD] [cid:5F525132-E024-4514-8E8C-66C438F5E13A] -------------- next part -------------- An HTML attachment was scrubbed... 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Name: 5F525132-E024-4514-8E8C-66C438F5E13A.png Type: image/png Size: 1714 bytes Desc: 5F525132-E024-4514-8E8C-66C438F5E13A.png URL: From dwang at cse.ohio-state.edu Thu Jun 29 01:57:24 2017 From: dwang at cse.ohio-state.edu (DeLiang Wang) Date: Thu, 29 Jun 2017 01:57:24 -0400 Subject: Connectionists: NEURAL NETWORKS, July 2017 Message-ID: <4d06b347-6d02-9d25-9d1a-bf4ea6f1a4f1@cse.ohio-state.edu> Neural Networks - Volume 91, July 2017 http://www.journals.elsevier.com/neural-networks Hopfield networks as a model of prototype-based category learning: A method to distinguish trained, spurious, and prototypical attractors Chris Gorman, Anthony Robins, Alistair Knott Recursive least mean P-power Extreme Learning Machine Jing Yang, Feng Ye, Hai-Jun Rong, Badong Chen A framework for parallel and distributed training of neural networks Simone Scardapane, Paolo Di Lorenzo Lagrange alpha-exponential stability and alpha-exponential convergence for fractional-order complex-valued neural networks Jigui Jian, Peng Wan Event-triggered H_infinity filtering for delayed neural networks via sampled-data Emel Arslan, R. Vadivel, M. Syed Ali, Sabri Arik Probabilistic lower bounds for approximation by shallow perceptron networks Vera Kurkova, Marcello Sanguineti Robust stability analysis of quaternion-valued neural networks with time delays and parameter uncertainties Xiaofeng Chen, Zhongshan Li, Qiankun Song, Jin Hu, Yuanshun Tan Spatiotemporal signal classification via principal components of reservoir states Ashley Prater A universal multilingual weightless neural network tagger via quantitative linguistics Hugo C.C. Carneiro, Carlos E. Pedreira, Felipe M.G. Franca, Priscila M.V. Lima From georg.martius at tuebingen.mpg.de Thu Jun 29 09:22:36 2017 From: georg.martius at tuebingen.mpg.de (Georg Martius) Date: Thu, 29 Jun 2017 15:22:36 +0200 Subject: Connectionists: 9 Independent Research Group Leaders in AI/ML/Robotics: Deadline approaching June 30 Message-ID: <5503856.XRoMGtad9e@aschau> This is a reminder that there are positions for *9 Independent Research Group Leaders*[1] in the Cyber Valley Initiative [2] in Germany Important facts: - budget for a small group for several years - independent research - highly competitive - excellent research environment - *Deadline: June 30* More details can be found at [1]. Regards, Georg [1] http://cyber-valley.de/jobs/9-independent-research-group-leaders-in-the-cyber-valley-initiative [2] Cyber Valley (http://cyber-valley.de/en) -------------- next part -------------- A non-text attachment was scrubbed... Name: signature.asc Type: application/pgp-signature Size: 163 bytes Desc: This is a digitally signed message part. URL: From shimon.whiteson at gmail.com Thu Jun 29 06:57:38 2017 From: shimon.whiteson at gmail.com (Shimon Whiteson) Date: Thu, 29 Jun 2017 11:57:38 +0100 Subject: Connectionists: [jobs] Opening for a Postdoctoral Researcher in Reinforcement Learning at the University of Oxford In-Reply-To: References: Message-ID: <7DAA54EF-86F6-4FE6-B652-650133CC59B8@gmail.com> Postdoctoral Researcher on Reinforcement Learning Project Department of Computer Science, University of Oxford A two year, full-time postdoctoral position is available for a researcher in the area of reinforcement learning. This is a European Research Council-funded project, working with Professor Shimon Whiteson. The goal of the project is to develop a new class of reinforcement learning and sample-based decision-theoretic planning methods that overcome fundamental obstacles to the efficient optimisation of control policies for autonomous agents. For further details and to apply please visit: http://www.cs.ox.ac.uk/news/1333-full.html ------------------------------------------------------- Shimon Whiteson | Associate Professor Dept. of Computer Science | U. of Oxford Room 407 | Wolfson Building ------------------------------------------------------- Tutorial Fellow | St. Catherine?s College Room 3 | Alan Bullock Building ------------------------------------------------------- +44 (0) 1865 283 515 (dept. office) +44 (0) 1865 281 574 (college office) +44 (0) 7443 287 697 (mobile) ------------------------------------------------------- shimon.whiteson at cs.ox.ac.uk www.cs.ox.ac.uk/people/shimon.whiteson ------------------------------------------------------- -------------- next part -------------- An HTML attachment was scrubbed... URL: From perfo897 at gmail.com Thu Jun 29 07:00:19 2017 From: perfo897 at gmail.com (Per-Erik Forssen) Date: Thu, 29 Jun 2017 13:00:19 +0200 Subject: Connectionists: Postdoctoral position in Computer Vision and Machine Learning Message-ID: Link?ping University hereby announces a postdoc position in Computer Vision at the Department of Electrical Engineering. The Link?ping Computer Vision Lab is a vibrant research environment with five faculty members, one postdoc, 11 PhD students, and several affiliated researchers. http://www.cvl.isy.liu.se Work description The postdoc will work as a researcher in a project on machine learning for time of flight cameras, and features collaboration between the Computer Vision Lab and the company Fotonic. 3D cameras using the time of flight (ToF) principle are increasingly popular for automation and robotics. Many new consumer products such as the Kinect v2, and the Microsoft Hololens device also rely on ToF for 3D mapping. We will together with Fotonic study the fundamentals of the measurement problem, and temporal fusion techniques, with the aim of improving depth map quality, range, and robustness. The postdoc is expected to publish papers at high ranking venues such as ECCV, CVPR, ICCV and 3DV. Appointment time A Postdoc is appointed until further notice, but for no longer than two years. The appointment can be renewed if there are special reasons. Starting date By agreement. Salary The University applies individual salary scales adapted to the experience of the employee and to the labour market. Qualifications The applicant should have a doctorate in computer vision or machine learning, or an equivalent degree from a foreign university. The doctorate shall have been obtained no longer than three years before the expiration date of the application. Earlier publications in first class journals and highly-competitive conferences in areas relevant to the work is considered a merit. Applicants with a rigorous background in mathematics, signal processing, GPU programming, and machine learning will be prioritized. Prior experience with LIDAR or ToF cameras is beneficial. Inquiries Further details on the position can be provided on request by Associate Professor Per-Erik Forssen (per-erik.forssen at liu.se) who is also the project manager, or by Professor Michael Felsberg (michael.felsberg at liu.se) who is heading the lab. Applying Apply by following the instructions at the following link: https://old.liu.se/jobba/lediga-jobb?l=en&sc=true Your application must be received at latest 2017-09-08, September 8. -- Per-Erik Forss?n | Docent and Associate Professor Computer Vision Lab | http://users.isy.liu.se/cvl/perfo/ Dept of Electrical Engineering | email: perfo at isy.liu.se SE-581 83 Link?ping | phone: +46 (13) 28 5654 Sweden | skype: per-erik_forssen -------------- next part -------------- An HTML attachment was scrubbed... URL: From xiaoweizhao at gmail.com Thu Jun 29 13:02:21 2017 From: xiaoweizhao at gmail.com (Xiaowei Zhao) Date: Thu, 29 Jun 2017 13:02:21 -0400 Subject: Connectionists: Call for submissions: SCiP 2017 featuring "Big Data and Deep Learning" Message-ID: Dear Colleague, The 47th annual meeting of the Society for Computers in Psychology (SCiP) will be held at the Vancouver Convention Center West, in Vancouver, British Columbia, Canada. The meeting will be held on Thursday, November 9th, 2017, before the opening of the annual meeting of the Psychonomic Society. *The deadline for submissions is July 20th, 2017.* The theme for this year?s conference is ?Big Data and Deep Learning? and will feature a keynote from Dr. Ping Li (Penn State http://blclab.org) along with a Presidential Symposium. SCiP submissions can be made via the main website: http://scip.ws What is SCiP? SCiP is an organization of researchers interested in applications of computational techniques and methods in psychology. One focus over the past several years has been on aiding psychologists in using computers in their teaching and research, statistical analysis tools, web-based research, clinical applications, and computational modeling. The Society has also encouraged consideration of psychological aspects of hardware and software development and design. Membership is open to any person who has an academic degree and who is active in scientific applications of computers to psychological research. Please see our main website http://scip.ws for the bylaw and the mission statement of the society. Program information for the 2017 conference We are planning a program with parallel talk sessions and an extended poster session. We have found that extended poster sessions provide an excellent forum for promoting discussion and interaction among the conference participants. Consequently, we ask you to consider submitting a proposal for that format. The program will include papers, tutorials, and symposia dealing with the use of computers in all areas of psychological research, including (but not limited to): Web-based research, data collection, and tools Online social media and communication Brain imaging methods and analysis Human-computer interaction Diagnostic and assessment tools Eye tracking tools and applications Novel experimental methodology Psychology of video games Instructional software Modeling cognitive and neural processes Statistical software and algorithms Online learning and instruction Virtual environments You need not be a current member of SCiP to present at the conference, and the modest conference registration fee also serves as your annual membership dues. Special Issue of Behavior Research Methods Conference presenters (both spoken and poster presentations) are invited to submit articles based on presentations at the SCiPmeeting to a special issue of Behavior Research Methods, the official journal of the SCiP. The September 2018 issue of Behavior Research Methods will feature the 2017 SCiP conference. Although papers submitted to the special issue go through a normal review process, the time to publication is greatly accelerated. Consequently, this is an excellent opportunity to get your important research published in an extremely timely fashion. This is one of the important perks of the attending the conference. Submissionsshould be prepared according to the guidelines of BRM, which can be found at http://www.psychonomic.org/page/springerBRM, and submitted through the BRM submission portal. It is important to indicate that the submission is for the ?SCiP Issue.? The deadline for article submission is December 31st, 2017. Student Awards First-time graduate student presenters are strongly encouraged to submit abstracts. If you are a first-time graduate student attending SCiP, and the primary presenter, you may be eligible to have your registration waived as part of the Birnbaum Scholarship for first-time graduate presenters. Please contact our secretary, Rick Dale (rdale at ucmerced.edu) for details. The Society sponsors The Castellan Student Paper Award for the outstanding student paper. Student papers on the application of computers to any area of psychology (theoretical, experimental, applied) are welcome. Eligibility is open to work done by a student currently enrolled in undergraduate or graduate courses, or work done as part of a course, thesis, or other student research by a person who graduated within the last year. The student must be the primary author and the presenter of the paper. The winning author will receive a one year membership in the Society, a one year subscription to BRM, and a $200 cash prize. Students who wish to have their papers considered for the award should indicate their desire at the time of submission and are required to submitthe complete manuscript for evaluation for the competition by October 1st, 2017. The award for the outstanding student paper will be presented at the conference during the business meeting. Instructions for submitting to SCiP 2017: To submit an abstract or symposium, please follow the instructions on our online submission form linked from http://scip.ws. Deadline: July 20th, 2017 Please consider forwarding our conference call to folks around your department! We hope to see you there! Xiaowei Zhao (Emmanuel College, Boston), President Rick Dale (UC Merced), Secretary-Treasurer -------------- next part -------------- An HTML attachment was scrubbed... URL: From cl at cmu.edu Thu Jun 29 16:24:56 2017 From: cl at cmu.edu (Christian Lebiere) Date: Thu, 29 Jun 2017 16:24:56 -0400 Subject: Connectionists: CFP: A Standard Model of the Mind Message-ID: Invitation to submit a position paper to the AAAI 2017 Fall Symposium on A Standard Model of the Mind The purpose of this symposium is to engage the international research community in developing a standard model of the mind, with a focus specifically on human-like minds, which include human minds but also artificial minds that are either inspired by human ones or are similar because of common functional goals. The notion of a standard model has its roots in particle physics, where it is assumed to be internally consistent, yet still have major gaps; and serves as a cumulative reference point for the field while driving efforts to both extend and revise it. A standard model of the mind could yield similar benefits while also guiding experimentation, application, extension, interpretation, evaluation, and comparison. The intent is not to develop a single implementation, model or theory that everyone would abide by and agree is correct. What is sought is a statement of the best consensus given the community's current understanding of the mind, plus a sound basis for further refinement as more is learned. A beginning was made at the 2013 AAAI Fall Symposium on Integrated Cognition, followed by an effort to capture and extend that initial consensus. Truly creating a standard model requires participation by researchers from across the community; hence this symposium. Format Working sessions will focus on the concept, framework, major components, and initial draft of a standard model; on mapping of existing architectures onto the model; and on summarizing the results and looking to the future. Each session will consist of an introduction, brief statements by 3-4 panelists on their position papers, and a moderated panel discussion. The focus will be on interactions that lead to a written summary document. Submissions Position papers (up to 6 pages) can be submitted to sm at ict.usc.edu by July 21, 2017. They should address fundamental issues with the concept of a standard model, outline proposals for such a model, or suggest specific contents. While contributions from all perspectives will be considered, those arising from a cognitive architecture approach ? and yielding implications for the computational structure and function of the mind and its parts ? are expected to be most directly relevant. Organizing Committee John Laird (University of Michigan, laird at umich.edu), Christian Lebiere (Carnegie Mellon University, cl at cmu.edu), Paul S. Rosenbloom (University of Southern California, rosenbloom at usc.edu) For More Information People considering writing position papers are encouraged to visit the symposium website (http://sm.ict.usc.edu), which has additional background resources. You can also contact any member of the organizing committee. -------------- next part -------------- An HTML attachment was scrubbed... URL: From toumarc at amazon.com Fri Jun 30 03:54:05 2017 From: toumarc at amazon.com (Toussaint, Marc) Date: Fri, 30 Jun 2017 07:54:05 +0000 Subject: Connectionists: 2017 Amazon Research Awards Call for Proposals Message-ID: <27892E29-383D-4B1B-B889-677743B641AB@amazon.com> Amazon has opened a call for proposals for the 2017 round of Amazon Research Awards in a number of areas, including MT, NLU, Search, Robotics and more. The program is open to faculty members in North America and Europe and awards up to 80,000 USD in cash and 20,000 USD in AWS credits. Proposal submissions are accepted until September 15, 2017. For program details and how to apply, visit https://ara.amazon-ml.com/proposals/#apply or contact research-awards at amazon.com. Best, Marc -------------- next part -------------- An HTML attachment was scrubbed... URL: From wingated at cs.byu.edu Fri Jun 30 11:41:59 2017 From: wingated at cs.byu.edu (David Wingate) Date: Fri, 30 Jun 2017 09:41:59 -0600 Subject: Connectionists: AAAI-18 Workshops CFP - August 4 Message-ID: Workshops at the The Thirty-Second Conference on Artificial Intelligence February 2-7, 2018 New Orleans, Louisiana, USA Sponsored by the Association for the Advancement of Artificial Intelligence =========================================================================== ** Important Dates for Workshop Organizers ** * Friday, August 4, 2017: Proposals for Workshops Due * Friday, August 18, 2017: Decisions Sent to Organizers * Friday, August 25, 2017: Workshop CFP Due at AAAI * Friday, October 13, 2017: Workshop Submissions Due to Organizers * Thursday, November 9, 2017: Notifications Sent to Authors * Friday, November 10, 2017: List of Participants Due at AAAI * Tuesday, November 21, 2017: Final Workshop Papers Due at AAAI ** Formats ** The AAAI-18 Program Committee invites proposals for the Workshop Program of the Association for the Advancement of Artificial Intelligence's Thirty-Second Conference on Artificial Intelligence (AAAI-18). Workshops are scheduled to be held at the beginning of the conference, February 2-3, 2018. Workshop participants will have the opportunity to meet and discuss issues with a selected focus -- providing an informal setting for active exchange among researchers, developers and users on topics of current interest. Members of all segments of the AI community are encouraged to submit proposals. To foster interaction and exchange of ideas, the workshops will be kept small, with 25-65 participants. Attendance is sometimes limited to active participants only, but most workshops also allow general registration by other interested individuals. The format of workshops will be determined by their organizers, who are encouraged to leave ample time for general discussion. Workshops will typically be one full day in length, although half-day and two-day proposals will also be considered. ** Innovations for the AAAI-18 Workshop Program ** The AAAI-18 Workshop co-chairs particularly encourage the submission of proposals for interdisciplinary workshops, which may involve co-organizers that are from disciplines other than AI, or may attract participants from disciplines other than AI. Proposals that focus on important or novel application domains for AI are also encouraged. ** Proposal Content ** Proposals for workshops should be about two (2) pages in length, and should contain the following: * A description of the workshop topic. Identify the specific issues on which the workshop will focus. * A brief discussion of why the topic is of particular interest at this time, including a discussion of prior workshops in this area (if applicable). * A brief description highlighting the organizing committee's expertise in the area and experience organizing similar events. * A brief description of the proposed workshop format, regarding the mix of events such as paper presentations, invited talks, panels, and general discussion. * An indication as to whether the workshop should be considered for a half-day, one, or two-day meeting. * The names and full contact information (email and postal addresses, fax and telephone numbers) of the organizing committee - three or four people knowledgeable in the field-and short descriptions of their relevant expertise. (Please specify the main contact.) Strong proposals include organizers who bring differing perspectives to the workshop topic and who are actively connected to the communities of potential participants. * A list of comparable workshops, either from AAAI or similar conferences, with corresponding links to further details. Please indicate specifically if this workshop is part of a continuing series. Workshops are an excellent forum for exploring emerging approaches and task areas, for bridging the gaps between AI and other fields or between subfields of AI, for elucidating the results of exploratory research, or for critiquing existing approaches. Because workshops are intended for focused exploration of special topics, topics that are already the subject of regular meetings are not appropriate. ** Workshop Organization ** Workshop organizers will be responsible for the following: Producing a call for participation. The call for participation is due no later than August 25, 2017. It will be posted on the AAAI web site. Organizers are responsible for additional publicity such as distributing the CFP to relevant newsgroups and electronic mailing lists, and especially to potential audiences from outside the AAAI community. Organizers are encouraged to maintain their own web site with updated information about the workshop. Selecting participants. Workshop attendance is by invitation of the organizers. Selection of attendees will be made by the organizers on the basis of submissions due October 13, 2017. Workshop organizers will need to provide AAAI with a preliminary list of the participants by November 10, 2017. Facilitating the production of the technical reports. AAAI coordinates the collection, production, and distribution of the technical reports or working notes for the workshops. Workshop organizers will submit lists of papers and author contact information to AAAI by November 10, 2017. Workshop papers and abstracts must be received from authors at AAAI no later than November 21, 2017. Workshop organizers who want to publish the papers from their workshop (or significant portions of it) will have the opportunity to do so through the AAAI Press. The Press (which retains the right of first refusal to publish) will furnish details of its program to interested organizers and authors. AAAI will provide logistical support, meeting places for the workshops, and will determine the dates and times of the workshops. AAAI reserves the right to drop any workshop if the organizers miss the above deadlines or if there is insufficient participation. Workshops are not to be used as a vehicle for marketing products. A reduced workshop registration fee will be offered to AAAI-18 technical program registrants. ** Proposal Submission ** Workshop proposals should be submitted to the workshop cochairs at aaai18ws at aaai.org as soon as possible and must be received no later than August 4, 2017. PDF format is preferred. Organizers will be notified of the committee's decision by August 18, 2017. Please address inquiries concerning workshop submissions to the email address above. ** AAAI Workshop Cochairs ** David Wingate Brigham Young University Matthew Taylor Washington State University -------------- next part -------------- An HTML attachment was scrubbed... URL: From christian at brackmann.com.br Fri Jun 30 23:30:22 2017 From: christian at brackmann.com.br (Christian Brackmann) Date: Sat, 01 Jul 2017 03:30:22 +0000 Subject: Connectionists: LAWCN 2017 - Submission Deadline Extended: July 15, 2017 Message-ID: Due to new partnerships with IBRO (International Brain Research Organization), SPRINGER, IEEE-RITA, CCIS/ISI Proceedings and numerous requests, the submission deadline was extended to July 15, 2017! Apologies for cross-posting and/or duplicate posts. --------------------------------------------------------------------------------- CALL FOR PAPERS LATIN AMERICAN WORKSHOP ON COMPUTATIONAL NEUROSCIENCE 2017 Paper Submission Deadline: July 15, 2017 (extended) November 22-24, 2017 Federal University of Rio Grande do Sul (UFRGS), Porto Alegre, Brazil. http://www.inf.ufrgs.br/lawcn/ Contact: lawcn2017 at easychair.org ------------------------------------------------------------------------------- Computational neuroscience is the study of brain function regarding the information processing properties of the structures that make up the nervous system. It is an interdisciplinary science that links the diverse fields of neuroscience, as cognitive science, medicine, psychology, electrical engineering, biomedical engineering, mechanical engineering, computer science, mathematics, physics and even philosophy. The Federal University of Rio Grande do Sul (UFRGS), located in Porto Alegre, in the south of Brazil, has promoted a more restricted version of this Workshop in November 2012. Since then, participants and investigators in the interdisciplinary fields related to Computational Neuroscience are claiming to resume the realization of this event. In this sense, with a broader scope aiming to encourage young researchers and graduate master and doctorate students in all Latin America, this edition will have three main topics: a) neuroscience, b) neuroengineering and c) artificial intelligence and related techniques. The Workshop will consist mainly of the following activities: 1. presentation of up to 8 key renowned international and national researchers; 2. presentation of up to 50 oral presentations; 3. presentation of poster presentations; 4. presentation of practical applications in neuroscience, both from University and from companies active in the field; and 5. practical demonstration of the A2200 Enigma machine, which belongs to the Informatics Institute, as a special tribute to the 105th Birthday Anniversary of Alan Turing, considered one of the founding fathers of Computer Science. All participants who investigate and contribute to the understanding of the properties of the brain, such as Medicine, Physics, Computer Science, Engineering, Psychology, Philosophy and others are welcomed. Issues related to the support of Communication and Information Technology and High-Performance Computing in Neuroscience will receive particular attention. UFRGS is happy to welcome LATIN AMERICAN WORKSHOP ON COMPUTATIONAL NEUROSCIENCE (LAWCN) in Porto Alegre, Brazil. GENERAL INFORMATION IMPORTANT DATES * June 30, 2017 July 15, 2017: Submission deadline for papers * September 04, 2017: Notification of acceptance * September 25, 2017: Camera-ready papers and copyrights waivers * November 13, 2017: Posters Image Files due, which will be digitally presented * November 22-24, 2017: Workshop, UFRGS - Porto Alegre, Brazil. SCOPE LAWCN 2017 covers all aspects of Computational Neuroscience. Although the interdisciplinary nature of the Conference and the stimulus to work at intersections and the frontiers of different disciplines, for the sake of clarifying the scope of the Workshop, topics will be presented on the three main axes. The interest topics include (but are not limited to): a) Neuroscience: * Sensory processing * Network dynamics * Reinforcement learning * Motivation and decision making * Statistical approaches in neuroscience * Systems Neuroscience * Learning and memory Attention * Arousal of Sensory-Motor Integration Learning in networks * Ethical and philosophical issues related to Neuroscience * Educational issues b) Neuroengineering: * Large-scale recordings * Neural signal processing * Neuromodulation * Neuroprosthetics * Robotics * Biomedical devices development * Humanoid robots * Robots for Elderly People * Sensing in Robotics * Fusion of Sensors * Hardware implementations in Neuroscience * Software implementations in Neuroscience * Brain-Computer Interfaces: design and applications * Ethical and philosophical issues related to Neuro-engineering * Educational issues c) Artificial Intelligence and related techniques: * Artificial Intelligence Techniques in Neuroscience * Bioinformatics * Clustering and Applications * Computer Vision, Cognitive and Humanoid Vision * Databases, Data Mining, Intelligent Data Analysis, Knowledge-based Systems and Linguistic Tools * Data Visualization and Applications * Deep Learning * Statistical Pattern Recognition/Document Processing and Recognition * Fuzzy and Hybrid Techniques * Geometric Algebra Application in Perception-Action * High-Performance Computing for Pattern Recognition * Image Coding, Processing, and Analysis * Kernel Machines * Mathematical Theory of Computational Neuroscience * Neural Networks * Parallel and Distributed Applications for Computational Neuroscience * Robotics and Humanoids * Shape and Texture Analysis * Signal Processing and Analysis * Spatio-temporal Analysis * Ethical and philosophical issues related to Artificial Intelligence * Educational issues KEYNOTE SPEAKERS LAWCN Organizing Committee is proud to announce the confirmation of the following invited talks: Dr. Francisco Sotres Bay?n, Professor of Neurosciences at the National Autonomous University of M?xico(UNAM ), M?xico Title of the talk : Understanding the Brain mechanisms of learned and innate motivational conflicts Dr. Laurence Devillers,Professor of Computer Science at Paris-Sorbonne University,Paris,France Title of the talk : Affective and Social Robotics : engagement,evaluation and ethics Dr. Sen Cheng, Professor of Computational Neuroscience at the Ruhr University Bochum(RUB),Bochum, Germany Title of the talk : Intrinsic Sequences in the hippocampus for spatial navigation and memory storage Dr. Vinicius Rosa Cota, Professor of Electrical Engineering at the Federal University of S?o Jo?o del-Rei (UFSJ), S?o Jo?o del-Rei, Brazil Title of the talk : Toward a neural prosthesis to the epileptic brain by tackling neural hyper synchronism The confirmation of other invited speakers will be done soon. REGISTRATION FEES - Until 30/06/2017 15/07/2017 Undergraduate Student: R$ 100,00 Graduate Student: R$ 150,00 Professionals: R$ 200,00 - Until 13/10/2017 Undergraduate Student: R$ 125,00 Graduate Student: R$ 175,00 Professionals: R$ 225,00 - From 14/10/2017 Undergraduate Student: R$ 150,00 Graduate Student: R$ 200,00 Professionals: R$ 250,00 Registrations can be done at: http://www2.fundacaomedica.hcpa.ufrgs.br/siafnet/hinscricoesemcursosv3.aspx?1598,I+LAWCN+-+LATIN+AMERICAN+WORKSHOP+ON+COM PAPER SUBMISSION AND PUBLICATIONS - Papers should be submitted exclusively through EasyChair website: https://easychair.org/conferences/?conf=lawcn2017 - Papers will be evaluated based on their originality, quality, and significance of the theoretical and practical contribution to Computational Neuroscience; - Only papers presented at the conference will be included in the proceedings; - All papers (Short and Full) and Digital Posters must be in PDF format and include abstract, figures, tables and references in the minimum/maximum amount of pages (according to the category desired); - Papers can be submitted in four categories (see image bellow): - Short paper not related directly to Computer Science: - Length: between 3 and 8 pages - Languages: English, Spanish and Portuguese - Short paper related to Computer Science: - Length: between 6 and 8 pages - Language: English - Full paper not related directly to Computer Science: - Length: between 10 and 15 pages - Languages: English, Spanish and Portuguese - Full paper related to Computer Science: - Length: between 10 and 15 pages - Language: English - Papers that are not related directly to Computer Science will be published in the Latin-American Workshop on Computational Neuroscience Proceedings and can be submitted in English, Portuguese or Spanish. Papers that are related to Computer Science will be published in Springer-Verlag Communications in Computer and Information Science (CCIS) Proceedings (ISSN 1865-0929), and the best papers will be indicated to be published in Education, Technology and Culture (ISSN 1808-0588) or IEEE-RITA (ISSN 1932-8540). - Papers (Short and Full) can be selected by the Program Committee for Oral or Poster presentations, regardless its length and category. - At least one author of each accepted paper for oral or poster presentation must register at the conference. If more than one paper per author is accepted, there is an extra registration fee; - Since LAWCN has goals to foster and encourage investigation careers of young and talented researchers, the Program Committee will select the best papers to be published in indexed journals. Contacts with editors have already been made and will continue until the realization of the Workshop to stimulate Science divulgation. - One of the authors must sign and attach a disclosure form if the paper is accepted; - More details about the papers submission process can be found on the Congress web page. LAWCN AWARDS The Program Committee will select the three best oral presentations (one for each main topic of the event) during the workshop. One of the authors of these papers will be entitled to a prize that will consist of amounts up to USD 300 for registration in scientific events in areas related to the Workshop and which occur in 2018, as well as free registration for the next edition of LAWCN. These awards will depend on the amount obtained by the registrations. ORGANIZERS General Chair: Prof. Dr. Dante Augusto Couto Barone, Informatics Institute, Federal University of Rio Grande do Sul (UFRGS), Porto Alegre, Brazil Deputy General Chair: Prof. Dr. Marino Bianchin, Medicine Faculty, Federal University of Rio Grande do Sul (UFRGS), Porto Alegre, Brazil Organizing Committee: Christian Puhlmann Brackmann IFFAR, Santa Maria, RS, Brazil Dante Augusto Couto Barone UFRGS, Porto Alegre, RS, Brazil Eduardo Oliveira Teles IFBA, Cama?ari, BA, Brazil Heron Pereira UFRGS, Porto Alegre, RS, Brazil Jaime Andres Riascos Salas UFRGS, Porto Alegre, RS, Brazil Marino Muxfeldt Bianchin UFRGS, Porto Alegre, RS, Brazil Paulo Rog?rio de Almeida Ribeiro UFMA, S?o Lu?s, MA, Brazil Pedro Schestatsky UFRGS, Porto Alegre, RS, Brazil Rodrigo Alejandro Sierra UFRGS, Porto Alegre, RS, Brazil Program Committee: Alexandre C?sar Muniz de Oliveira, Informatics Department, Federal University of Maranh?o (UFMA), S?o Lu?s, Brazil Ant?nio Carlos Roque, Physics and Mathematics Department, S?o Paulo University (USP), Ribeir?o Preto, Brazil Areolino de Almeida Neto, Informatics Department, Federal University of Maranh?o (UFMA), S?o Lu?s, Brazil Christian Haag Kristensen, Psychology Faculty, Pontifical Catholic University of Rio Grande do Sul (PUC-RS), Porto Alegre, Brazil Dante Augusto Couto Barone, Informatics Institute, Federal University of Rio Grande do Sul (UFRGS), Porto Alegre, Brazil Diana Adamatti, Center of Computational Sciences, Federal University of Rio Grande (FURG), Rio Grande, Brazil Edson Prestes e Silva Junior, Informatics Institute, Federal University of Rio Grande do Sul (UFRGS), Porto Alegre, Brazil Eduardo L?pez-Larraz, Institute of Medical Psychology and Behavioural Neurobiology, University of T?bingen, T?bingen, Germany Eduardo Vicentini de Medeiros, Experimental Philosophy and Cognitive Studies Laboratory, Vale do Rio dos Sinos University (UNISINOS), Porto Alegre, Brazil Fabr?cio Lima Brasil, Edmond and Lily Safra International Institute of Neurosciences, Santos Dumont Institute (ELS IINN), Natal, Rio Grande do Norte, Brazil Felipe Meneguzzi, Informatics Faculty, Pontifical Catholic University of Rio Grande do Sul (PUC-RS), Porto Alegre, Brazil Francisco Sotres Bay?n, Celular Physiology Institute, National Autonomous University of M?xico (UNAM), M?xico Frederico Augusto Casarsa de Azevedo, Max Planck Institute for Biological Cybernetics, T?bingen, Germany Gustavo Gauer, Psychology Institute, Federal University of Rio Grande do Sul (UFRGS), Porto Alegre, Brazil Hougelle Simpl?cio Gomes Pereira, Edmond and Lily Safra International Institute of Neurosciences, Santos Dumont Institute (ELS IINN), Natal, Rio Grande do Norte, Brazil J?s de Jesus Fiais Cerqueira, Electrical Engineer Department, Federal University of Bahia (UFBA), Salvador, Brazil Jim T?rresen, Department of Informatics, University of Oslo (UiO), Oslo, Norway Juan Verdejo-Rom?n, Brain and Behavior Research Center, University of Granada (UGR), Granada, Spain Luciana Porcher Nedel, Informatics Institute, Federal University of Rio Grande do Sul (UFRGS), Porto Alegre, Brazil Luis Fernando Cardenas Parra, Psychology Department, Los Andes University, Bogot?, Colombia Marco Rocha Curado, University Medical Center Freiburg, Freiburg, Germany Marcos Yuzuru de Oliveira Camada, Electrical Engineering Graduate Course, Federal University of Bahia (UFBA), Salvador, Brazil Marino Muxfeldt Bianchin, Medicine Faculty, Federal University of Rio Grande do Sul (UFRGS), Porto Alegre, Brazil Miguel Perez Garcia, Mind, Brain and Behavior Research Center, University of Granada (UGR), Granada, Spain Olavo Amaral, Biochemical Medicine Institute, Federal University of Rio de Janeiro (UFRJ), Rio de Janeiro, Brazil Patricio Donnelly Kehoe, Scientific and Technological Center of Rosario, National University of Rosario (UNR),Rosario, Argentina Paulo Rog?rio de Almeida Ribeiro, Computer Engineering Department, Federal University of Maranh?o (UFMA), S?o Lu?s, Brazil Pedro Schestatsky, Medicine Faculty, Federal University of Rio Grande do Sul (UFRGS), Porto Alegre, Brazil Reinhold Scherer, Institute of Neural Engineering, Graz University of Technology, Graz, Austria Renan Cipriano Moioli, Edmond and Lily Safra International Institute of Neurosciences, Santos Dumont Institute (ELS IINN), Natal, Rio Grande do Norte, Brazil Risto Ilmoniemi, Department of Neuroscience and Biomedical Engineering,Aalto University, Helsinki,Finland Rodrigo Alejandro Sierra, Biosciences Institute, Federal University of Rio Grande do Sul (UFRGS), Porto Alegre, Brazil Rukiye Uzun, Department of Electronics and Electrical Engineering,Bulent Ecevit University (BEU), Zonguldak, Turkey Sen Cheng, Computational Neuroscience Institute, Ruhr University Bochum (RUB), Bochum, Germany Silvio Cesar Cazella, Department of Exact and Applied Social Sciences,Federal University of Health Sciences of Porto Alegre (UFCSPA), Porto Alegre, RS, Brazil -- *Christian Puhlmann Brackmann* Professor at Federal Institute of Education, Science and Technology Farroupilha (IFFAR) Doctoral Student / Computers in Education - Federal University of Rio Grande do Sul (UFRGS) http://lattes.cnpq.br/3440794204799048 christian at brackmann.com.br (Skype) cpbrackmann at inf.ufrgs.br ? ? +55 55 98100 1819 *??* *?Education is the most powerful weapon which you can use to change the world?* ?? 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